|ID||Name||Developer||Scope||Platform||Methodology||Description||Model URL||Cost||Image URL||Long Name||Developer URL|
|2||CCP||Torrie-Smith Associates, Canada||Local (cities, states) climate inventories and action plans||Windows||Accounting||
CCP is a software tool designed primarily to help members of ICLEI's Cities for Climate Protection Campaign develop their local climate action plans. ICLEI is the International Council for Local Environmental Initiatives. The software can be used to develop greenhouse gas emissions inventories for cities based on their energy use and waste generation. It can also be used to help quantify financial savings, air pollutant reductions and other co-benefits of greenhouse gas emission reduction strategies.
|http://www.torriesmith.com||Free to ICLEI member communities||Cities for Climate Protectionemail@example.com||http://www.torriesmith.com/|
|3||COMPOSE||EnergiAnalyse, Denmark||Cost-benefit and cost-effectiveness toolbox for private and public decision-makers.||Windows||Accounting/Optimization||
COMPOSE is a parametric linear programming model for designing and evaluating energy options within an energy-economy system. COMPOSE is also a social platform for sharing, comparing, and safe-keeping case studies and solutions about how energy demands, supply processes, and markets interact in the quest for sustainable energy. COMPOSE provides a rapid and powerful basis for comparative energy systems analysis that is consistent with the micro-economic reality of operational scheduling.
|http://www.energianalyse.dk/||Free for academic users. Contact author for other prices.||/ToolImages/compose.png||Compare Options for Sustainable Energyfirstname.lastname@example.org||http://www.energianalyse.dk/|
|7||EFFECT||World Bank||GHG emissions scenarios.||Excel||Accounting||
EFFECT: the Energy Forecasting Framework and Emissions Consensus Tool (EFFECT) is an open and transparent spreadsheet-based modeling tool used to forecast greenhouse gas (GHG) emissions from a range of development scenarios. It focuses on sectors that contribute to and are expected to experience a rapid growth in emissions. The model was initially developed by the World Bank while working with the Government of India on an analysis of their national energy plan. It has since been used in eleven countries, including Brazil, Poland, Georgia, Macedonia, Nigeria, and Vietnam. EFFECT forecasts GHG emissions for given development scenarios or policy choices. In addition to forecasting GHG Emissions, it enables consensus building among disparate government departments, and forecasts energy balances and amounts of energy generating/consuming assets in a country or sector. It also produces results for individual sectors such as road transport, agriculture, power, industry, household and non-residential sectors.
|https://esmap.org/EFFECT||Free||Energy Forecasting Framework and Emissions Consensus Toolemail@example.com||https://www.esmap.org/|
|10||EnergyPLAN||Aalborg University, Denmark||Simulates and optimizes the operation of an entire national energy system for every hour in a particular year.||Windows||Simulation/Optimization||
EnergyPLAN is a Windows-based tool created to assist in the design of national or regional energy planning strategies. It is a deterministic input/output model. General inputs are demands, renewable energy sources, energy station capacities, costs and a number of optional different regulation strategies emphasizing import/export and excess electricity production. Outputs are energy balances and resulting annual productions, fuel consumption, import/export of electricity, and total costs including income from the exchange of electricity.
EnergyPLAN has been applied in Denmark and a number of other European Countries. It is a deterministic model using hourly simulations of load for a single year. It optimizes the operation of a given system across all fuels as opposed to models which optimize investments in the system. EnergyPLAN is based on analytical programming as opposed to iterations, dynamic programming or advanced mathematical tools.
|13||Energy Costing Tool||UNDP||Estimates the amounts and types of energy investments required to meet the Millennium Development Goals (MDGs)||Excel||Accounting||
A crucial part of developing MDG-based national development strategies is MDG costing, which quantifies the specific financial and human resources needed, as well as infrastructure required, to meet the MDGs.
The Energy Costing Tool has been designed specifically to help government planners and decision makers estimate the amounts and types of energy investments required to meet the MDGs.
The tool is available for download here
|14||LEAP||SEI||Integrated Energy/Environment Analysis||Windows||Accounting/Simulation/Optimization||
LEAP is a integrated scenario-based energy-environment modeling tool that accounts for how energy is consumed, converted and produced in a given energy system under a range of alternative assumptions. LEAP is primarily an accounting system but users can also build econometric, simulation and optimization-based models. Users can mix and match these methodologies as required in a given analysis. For example, a user might create top-down projections of energy demand in one sector based on a few macroeconomic indicators (price, GDP), while creating a detailed bottom-up forecast based on an end-use analysis in other sectors.
LEAP supports both final and useful energy demand analyses as well as detailed stock-turnover modeling for transportation and other analyses. On the supply side LEAP supports a range of simulation and optimization methods for modeling both capacity expansion and plant dispatch. LEAP includes a built-in Technology and Environmental Database (TED) containing data on the costs, performance and emission factors for over 1000 energy technologies. LEAP can be used to calculate the emissions profiles and can also be used to create scenarios of non-energy sector emissions and sinks (e.g. from cement production, land-use change, solid waste, etc.).
|http://www.energycommunity.org||Free to non-profit, academic and government sector organizations based in developing countries. Free to accredited students worldwide. Licensing costs for other institutions.||/ToolImages/LEAP.PNG||Long-range Energy Alternatives Planning Systemfirstname.lastname@example.org||http://www.sei-international.org|
|15||TIMES/MARKAL||ETSAP||Integrated Energy/Environment Analysis||Windows||Optimization||
MARKAL (MARket ALlocation) is a technology-focused energy/economic/environmental model. It was developed in a collaborative effort under the auspices of the International Energy Agency Energy Technology Systems Analysis Programme (ETSAP).
MARKAL is a generic model tailored by the input data to represent the evolution over a period of usually 20 to 50 years of a specific energy-environment system at the national, regional, state or province, or community level. The system is represented as a network, depicting all possible flows of energy from resource extraction, through energy transformation and end-use devices, to demand for useful energy services. Each link in the network is characterized by a set of technical coefficients (e.g., capacity, efficiency), environmental emission coefficients (e.g., CO2, SOx, NOx), and economic coefficients (e.g., capital costs, date of commercialization). Many such energy networks or Reference Energy Systems (RES) are feasible for each time period. MARKAL finds the best RES for each time period by selecting the set of options that minimizes total system cost over the entire planning horizon.
TIMES (The Integrated MARKAL-EFOM System) builds on the best features of MARKAL and the Energy Flow Optimization Model (EFOM). In order to work with MARKAL, you need a number of software elements: MARKAL itself, a user-interface (two are available for Windows: ANSWER and VEDA), GAMS (a high-level modeling system for mathematical programming problems) and an optimizing solver such as MINOS, CPLEX or OSL.
A number of varations of MARKAL are available including:
|http://www.iea-etsap.org/web/tools.asp||$3,300-$15,000 depending on type of institution.||/ToolImages/markal.png||The Integrated MARKAL-EFOM Systememail@example.com||http://www.iea-etsap.org/web/tools.asp|
|16||OSeMOSYS||KTH, SEI, UCL et al||Long-run energy planning based on Linear Programming optimization techniques.||GLPK: The GNU Linear Programming Kit||Optimization||
OSeMOSYS the Open Source energy MODeling SYStem, is a simple, powerful, transparent, modeling system that can be used for linear programming based energy system optimization modeling. OSeMOSYS is open source and totally free to use. It is built open the GNU Linear Programming Kit (GLPK), an open source mathematical programming language. It has been created by a consortium of organizations lead by KTH, the Royal Institute of Technology in Sweden and including SEI, UNIDO, IAEA, and the UK Energy Research Center. OSeMOSYS is provided as a simple text file written in the GLPK language and it is also embedded within the LEAP energy modeling system.
|http://www.osemosys.org/||Free and Open Source||/ToolImages/osemosys.png||The Open Source Energy Modeling Systemfirstname.lastname@example.org||http://www.osemosys.org/|
|17||RETScreen||NREL||Energy production, life-cycle costs and GHG emission reductions for various energy efficient and renewable energy technologies||Excel or Windows (RETScreen Plus)||Accounting||
RETScreen International Clean Energy Project Analysis Software can be used world-wide to evaluate the energy production, life-cycle costs and greenhouse gas emission reductions for various types of energy efficient and renewable energy technologies (RETs). The software also includes product, cost and weather databases, and a detailed online user manual. The RETScreen International Online Product Database provides users access to contact information for more than 1,000 clean energy technology manufacturers around the globe, including direct Website and Internet links from within the RETScreen software and from this Website (Marketplace). In addition, the database provides access to pertinent product performance and specifications data for a number of these manufacturers. These data can be "pasted" to the relevant cells within the RETScreen software. The RETScreen software currently includes modules for evaluating: wind energy, small hydro, solar photovoltaics (PVs), combined heat and power, biomass heating, solar air heating, solar water heating, passive solar heating, ground-source heat pumps, and refrigeration.
|http://www.retscreen.net||Free||/ToolImages/retscreen.jpg||RETScreen Clean Energy Project Analysis Softwareemail@example.com||http://www.retscreen.net/|
|18||MESSAGE||IAEA and IIASA||Integrated Energy/Environment Analysis||Windows||Optimization||
MESSAGE is used to formulate and evaluate alternative energy supply strategies under different user defined and physical constraints. Examples include: new investment limits, market penetration rates for new technologies, fuel availability and trade, environmental emissions, etc. MESSAGE is extremely flexible and can also be used to analyze energy/electricity markets and climate change issues. It belongs to the same family of models as MARKAL, EFOM and TIMES and relies on a technology rich description of the energy system. It chooses the most cost effective arrangement of technologies and energy carrier use to meet the demands for energy service specified. Unlike many other optimization models, it does not require purchases of GAMS, nor a commercial solver. A free Linear Programming (LP) solver is provided. However depending on the problem complexity more powerful LP and Non-Linear Programming (NLP) solvers, such as CPLEX, can be seamlessly used by the software.
MESSAGE is the subject of a special agreement between IIASA and the International Atomic Energy Agency (IAEA). IAEA distributes a modified version of MESSAGE with a graphical front-end as well as training on how to use it.
|https://www.iaea.org/OurWork/ST/NE/Pess/capacitybuilding.html||Free to public sector, non-profit and research organizations. Requires governmental agreement with IAEA.||/ToolImages/message.jpg||Model for Energy Supply Strategy Alternatives||PESS.Contact-Point@iaea.org||https://www.iaea.org/OurWork/ST/NE/Pess/capacitybuilding.html|
|19||WEAP||SEI||Software tool for integrated water resources planning. Provides a comprehensive, flexible and user-friendly framework for planning and policy analysis. Can also be used with LEAP for energy-water "nexus" analyses.||Windows||Accounting/Simulation||
Freshwater management challenges are increasingly common. Allocation of limited water resources between agricultural, municipal and environmental uses now requires the full integration of supply, demand, water quality and ecological considerations. WEAP, the Water Evaluation And Planning system is a user-friendly software tool that incorporates these issues into a practical yet robust tool for integrated water resources planning. It provides a comprehensive, flexible and user-friendly framework for planning and policy analysis. WEAP also be used in conjunction with LEAP for energy-water nexus analyses.
|http://www.weap21.org||Free to non-profit, academic and government sector organizations based in developing countries. Licensing costs for other institutions||/ToolImages/WEAP.GIF||Water Evaluation and Planning Systemfirstname.lastname@example.org||http://www.sei-international.org|
|20||TRACE||World Bank||Decision-support to help cities quickly identify under-performing sectors, evaluate improvement and cost-saving potential, and prioritize sectors and actions for energy efficiency interventions.||Windows||Accounting||
The Tool for Rapid Assessment of City Energy (TRACE) is a decision-support tool designed to help cities quickly identify under-performing sectors, evaluate improvement and cost-saving potential, and prioritize sectors and actions for energy efficiency (EE) intervention. It covers six municipal sectors: passenger transport, municipal buildings, water and waste water, public lighting, solid waste, and power and heat.
TRACE consists of three modules: an energy benchmarking module which compares key performance indicators (KPIs) among peer cities, a sector prioritization module which identifies sectors that offer the greatest potential with respect to energy-cost savings, and an intervention selection module which functions like a “playbook” of tried-and-tested EE measures and helps select locally appropriate EE interventions.
|http://www.esmap.org/TRACE||Free||/ToolImages/TRACE.jpg||increasedecreaseText SizeHome Tool for Rapid Assessment of City Energyemail@example.com||https://www.esmap.org/|
|21||MAED||IAEA||Energy Demand Modeling||Excel||Accounting||
MAED evaluates future energy demands based on medium- to long-term scenarios of socioeconomic, technological and demographic development. Energy demand is disaggregated into a large number of end-use categories corresponding to different goods and services in different sectors. The influences of social, economic and technological driving factors from a given scenario are estimated. These are combined to give an overall picture of future energy demand growth. Based on efficiencies of end-use appliances, useful energy as well as final energy demand is estimated. MAED is written using a series of excel macros. The tool and the manual is available in English, French and Spanish.
|https://www.iaea.org/OurWork/ST/NE/Pess/capacitybuilding.html||Free to public sector, non-profit and research organizations. Requires governmental agreement with IAEA.||/ToolImages/maed.jpg||Model for Analysis of Energy Demand||PESS.Contact-Point@iaea.org||https://www.iaea.org/OurWork/ST/NE/Pess/capacitybuilding.html|
|22||GEMIS||IINAS||A life-cycle and material flow analysis model and database.||Windows||Accounting||
GEMIS is a public domain life-cycle and material flow analysis model and database that IINAS provides freely.
GEMIS was first released in 1989, and is continuously updated and extended since then. It is used by many parties in more than 30 countries for environmental, cost and employment analyses of energy, materials and transport systems.
IINAS continues networking with GEMIS users on the international level, and extending and improving the model, and its database.
|http://www.iinas.org/gemis.html||Free and Open Source||/ToolImages/gemis.jpg||Global Emissions Model for integrated Systemsfirstname.lastname@example.org||http://www.iinas.org/|
|23||HOMER Pro||HOMER Energy LLC||Microgrid planning and optimization software||Windows||Accounting/Optimization||
HOMER Pro is a tool for microgrid planning for systems that can include a combination of renewable power sources, storage, and fossil-based generation (either through a local generator or a power grid). HOMER's optimization and sensitivity analysis algorithms allow you to evaluate the economic and technical feasibility of a large number of technology options and to account for variations in technology costs, electric load, and energy resource availability. Originally designed at the National Renewable Energy Laboratory for the village power program, HOMER is now licensed to HOMER Energy.
HOMER provides chronological simulation and optimization in a model that is relatively simple and easy to use. It is adaptable to a wide variety of projects. For a village or community-scale power system, HOMER can model both the technical and economic factors involved in the project. For larger systems, HOMER can provide an important overview that compares the cost and feasibility of different configurations, so that designers can use more specialized software to model technical performance.
HOMER is accessible to large set of users, including non-technical decision makers. Chronological simulation is essential for modeling variable resources, such as solar and wind power and for combined heat and power applications where the thermal load is variable. HOMER’s sensitivity analysis helps determine the potential impact of uncertain factors such as fuel prices or wind speed on a given system.
HOMER models both conventional and renewable energy technologies, either as a microgrid or as distributed generation within a larger grid.
|http://www.homerenergy.com||$500-$1400/year or $1500-$4200 permanent. (free 30 day trial)||/ToolImages/HOMER.PNG||Hybrid Optimization Model for Multiple Energy Resourcesemail@example.com||http://www.homerenergy.com/|
|24||MAC Tool||World Bank||Tool for building Marginal Abatement Cost Curves (MACCs)||Excel||Accounting||
The Marginal Abatement Cost Tool (MACTool) provides an easy way for building marginal abatement cost curves, and for calculating break-even carbon prices. The user-friendly interface guides users through a simple data entry process, which simplifies a typically laborious process.
MACTool helps policymakers compare the costs and benefits of emission reduction options that can be used to build low-carbon scenarios at a national or sub-national level. It provides a cost-benefit comparison of these options and an estimate of the incentives needed to make these options attractive for the private sector by calculating break-even carbon prices. It also enables governments to assess the total investment needed to shift towards low carbon growth. MACTool can also be used to test the possibility of a domestic cap and trade system, by exploring which sectors would most likely to respond to a given carbon price.
MACTool builds a reference scenario and low carbon scenarios for each individual low-carbon option. It allows users to schedule investments for low carbon alternatives along the planning period. It calculates the differential in emissions, investments, costs and revenues between the scenarios, and generates customized curves that make it easy to visualize options.
|https://esmap.org/MACTool||Free||/ToolImages/mactool.png||he Marginal Abatement Cost Toolfirstname.lastname@example.org||https://www.esmap.org/|
|25||ENPEP-BALANCE||Argonne National Lab||Integrated energy systems analysis||Windows||Simulation||
ENPEP-BALANCE is an integrated energy system model that uses a market-based simulation approach to examine how various segments of the energy system will respond to changes in energy prices and demands.
ENPEP-BALANCE is a nonlinear equilibrium model that matches the demand for energy with available resources and technologies. Its market-based simulation approach allows ENPEP-BALANCE to determine the response of various segments of the energy system to changes in energy prices and demand levels. The model relies on a decentralized decision-making process in the energy sector and can be calibrated to the different preferences of energy users and suppliers. Basic input parameters include information on the energy system structure, base-year energy statistics including production, and consumption levels and prices, projected energy demand growth, and any technical and policy constraints.
In this process, an energy network is designed to trace the flow of energy from primary resources to useful energy demands in the end-use sectors. ENPEP-BALANCE networks are constructed by using different nodes and links that represent various energy system components. Nodes in the network represent depletable and renewable resources, various conversion processes, refineries, thermal and hydro power stations, cogeneration units, boilers and furnaces, marketplace competition, taxes and subsidies, and energy demands.
|http://ceeesa.es.anl.gov/projects/Enpepwin.html||Free||/ToolImages/enpep.png||Energy and Power Evaluation Programemail@example.com||http://ceeesa.es.anl.gov|
|26||SUPER||OLADE||Electricity demand, transmission, capacity expansion and generation model including hydrology for hydro systems, planning under uncertainty, hydro-thermal dispatch, financial, and environmental analysis||Windows||Simulation/Optimization||
The SUPER model is useful for multi-year generation and power system inter-connection planning studies, considering parameters such as hydro risks, reservoir features, demand growth and hourly characteristics, energy conservation and load management programs, fuel costs, project execution periods, inter-connections, etc. It is used by over 10 countries, by national electric planning entities, power sector regulation and control agencies, consultants, and generation and transmission companies. The model contains the following modules: Energy Demand and Conservation, Hydrology, Planning under Uncertainty, Hydro-thermal Dispatch, Financial, and Environmental analysis.
|http://www.olade.org/producto/super-2/||US$3,600 with one year of support and updates.||Sistema Unificado de Planificación Eléctrica Regionalfirstname.lastname@example.org||http://www.olade.org/|
|31||CURB||World Bank||Tool to help cities take action on climate by mapping out different action plans and evaluating their cost, feasibility, and impact.||Excel||Accounting||
With the bulk of energy use and GHG emissions emanating from urban areas, cities have a key part to play in combating climate change. By reducing their environmental footprint, cities will not only lower their contribution to global GHG emissions, but can also enjoy significant local benefits such as improved air quality, better health outcomes, local economic development and job creation. CURB is an interactive tool that is designed specifically to help cities take action on climate by allowing them to map out different action plans and evaluate their cost, feasibility, and impact.
CURB’s key features
|http://www.worldbank.org/en/topic/urbandevelopment/brief/the-curb-tool-climate-action-for-urban-sustainability||Free||/ToolImages/curb.png||Climate Action for Urban Sustainabilityemail@example.com||http://www.worldbank.org/|
|32||HEAT+ Tool||ICLEI||Online City-scale GHG Emissions Inventory Tool||Web||Accounting||
HEAT+ is ICLEI’s online emissions inventory tool to help Local Governments to account Greenhouse Gas Emissions (GHGs), Common Air Pollutants (CAP)and other Volatile Organic Compounds (VOC).
HEAT+ helps Local Governments to make informedclimate action decisions and identify the most effectivemeasures in emissions and pollutant abatement.
HEAT+ enables cities and towns to:
|http://heat.iclei.org/||Free to ICLEI members||/ToolImages/heatplus.jpg||Harmonized Emissions Analysis Toolfirstname.lastname@example.org||http://www.iclei.org/|
|33||PLEXOS||Energy Exemplar||Integrated Energy Planning||Windows||Optimization||
PLEXOS is an integrated energy model that combines mathematical optimisation with the data handling, visualisation and distributed computing methods, to provide a simulation system for electric power, water and gas systems.
|http://energyexemplar.com/software/plexos-desktop-edition/||For purchase: contact Energy Examplar for costs.||/ToolImages/plexos2.jpg||PLEXOS Integrated Energy Modeemail@example.com||http://energyexemplar.com/|
|34||GREET||Argonne National Lab||Well-to-wheel full lifecyclevehicle-cycle analysis of emissions from transportation options.||Excel||Accounting||
To fully evaluate energy and emission impacts of advanced vehicle technologies and new transportation fuels, the fuel cycle from wells to wheels and the vehicle cycle through material recovery and vehicle disposal need to be considered. Sponsored by the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE), Argonne has developed a full life-cycle model called GREET (Greenhouse gases, Regulated Emissions, and Energy use in Transportation). It allows researchers and analysts to evaluate various vehicle and fuel combinations on a full fuel-cycle/vehicle-cycle basis.
The first version of GREET was released in 1996. Since then, Argonne has continued to update and expand the model. The most recent GREET versions are the GREET1 2015 version for fuel-cycle analysis and GREET2 2015 version for vehicle-cycle analysis.
GREET was developed as a multidimensional spreadsheet model in Microsoft Excel. This public domain model is available free of charge for anyone to use.
|https://greet.es.anl.gov/||Free||/ToolImages/greet.jpg||The Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation Modelfirstname.lastname@example.org||http://www.anl.gov/|
|35||MOVES||US EPA||US-focused model for calculating emissions inventories from mobile sources.||Windows||Accounting||
MOVES is the U.S. Environmental Protection Agency's (EPA) Motor Vehicle Emission Simulator. It is used to create emission factors or emission inventories for both onroad motor vehicles and nonroad equipment. The purpose of MOVES is to provide an accurate estimate of emissions from cars, trucks and non-highway mobile sources under a wide range of user-defined conditions.
In the modeling process, the user specifies vehicle types, time periods, geographical areas, pollutants, vehicle operating characteristics, and road types to be modeled. The model then performs a series of calculations, which have been carefully developed to accurately reflect vehicle operating processes, such as running, starts, or hoteling, and provide estimates oftotal emissions or emission rates per vehicle or unit of activity. Specifying thecharacteristics of the particular scenario to be modeled is done by creating a Run Specification, or RunSpec.
In addition, the MOVES model includes a default database that summarizes emission relevant information for the entire United States. The MOVES team continually works to improve this database, but, for many uses, up-to-date local inputs will be more appropriate, especially for analyses supporting State Implementation Plans (SIPs) and conformitydeterminations.
|https://www3.epa.gov/otaq/models/moves/||Free||/ToolImages/moves.png||Motor Vehicle Emission Simulatoremail@example.com||https://www3.epa.gov/|
|36||CLEER||US AID||Estimates, tracks, and reports GHG emission reductions for US AID-supported Clean Energy programs.||Excel||Accounting||
The CLEER Tool provides simple, standardized methodologies for calculating emissions reductions from clean energy activities. The tool provides users with a consistent approach for estimating, tracking, and reporting GHG reductions impacts on clean energy programs, which may help users identify high impact activities with cost effective GHG reductions, assess emissions reduction potential of planned activities or alternatives, and measure benefits from indirect clean energy activities.
Clean energy activities covered by the tool include renewable energy (e.g., solar photovoltaic, wind turbines, geothermal, hydroelectric), energy efficiency (building and appliance efficiency), biomass energy, fuel switching, and a list of other technology types that continues to grow.
For USAID-supported projects, CLEER assists implementers in reporting GHG emissions reduced, sequestered, and/or avoided, a required standard indicator for clean energy projects.
|https://www.cleertool.org/||Free||/ToolImages/cleer.png||Clean Energy Emission Reduction Tool||CLEERHelp@icfi.com||https://www.usaid.gov/|
|37||BALMOREL||Ravn, Hans||International GAMS-based energy system model of electricity and combined heat and power sectors.||GAMS||Optimization||
Balmorel is a model for analysing the electricity and combined heat and power sectors in an international perspective. It is highly versatile and may be applied for long range planning as well as shorter time operational analysis. The model is developed in a model language, and the source code is readily available, thus providing complete documentation of the functionalities. Moreover, the user may modify the model according to specific requirements, making the model suited for any purpose within the focus parts of the energy system.
The Balmorel model has been applied in projects in Denmark, Norway, Estonia, Latvia, Lithuania, Poland, Germany, Austria, Ghana, Mauritius, Canada and China. It has been used for analyses of, i.a., security of electricity supply, the role of flexible electricity demand, hydrogen technologies, wind power development, the role of natural gas, development of international electricity markets, market power, heat transmission and pricing, expansion of electricity transmission, international markets for green certificates and emission trading, electric vehicles in the energy system, environmental policy evaluation.
|http://www.balmorel.com/||Free: requires GAMS||HansRavn@aeblevangen.dk||http://www.balmorel.com/|
|38||META||World Bank||Compares the economic costs of more than 50 electricity generation and delivery technologies including externalities.||Excel||Accounting||
The Model for Electricity Technology Assessment (META) facilitates the comparative assessment of the economic costs of more than 50 electricity generation and delivery technologies, including conventional generation options (thermal, hydroelectric, etc.), nonconventional options (renewables), and emerging options such as power storage and carbon capture and storage (CCS).
META has an option for incorporating the costs associated with externalities in power generation such as local pollution and Green House Gas emissions. The META model can also be used to undertake uncertainty analysis for selected key inputs.
META is populated with default performance and cost data inputs drawn from three representative countries: India, Romania and the USA, which were chosen as proxies for developing, middle-income and developed countries, respectively. Users also have the option of customizing the data for new countries by entering detailed input data directly into model and for as many parameters as they consider necessary.
|https://www.climatesmartplanning.org/dataset/tool-rapid-assessment-city-energy-trace||Free||/ToolImages/meta.jpg||Model for Electricity Technologyfirstname.lastname@example.org||https://www.esmap.org/|
|39||SIMPACTS||IAEA||Estimates health and environmental damage costs of different electricity generation technologies||Windows||Accounting||
SIMPACTS estimates and quantifies the health and environmental damage costs of different electricity generation technologies.
SIMPACTS can be used by energy analysts and decision makers forcomparing and ranking various electricity generation options in terms of external costs. SIMPACTS covers the major electricity generation sources and most of the associated impacts on human health and the environment. It provides a simple but accurate tool for estimating externalcosts associated with electricity generation.
|https://www.iaea.org/OurWork/ST/NE/Pess/capacitybuilding.html||Free to public sector, non-profit and research organizations. Requires governmental agreement with IAEA.||Simplified Approach for Estimating Environmental Impacts of Electricity Generation||PESS.Contact-Point@iaea.org||https://www.iaea.org/OurWork/ST/NE/Pess/capacitybuilding.html|
|40||WASP||IAEA||Electric sector long-range capacity expansion planning.||Windows||Optimization||
WASP is the IAEA’s model for analysing expansion plans for electricity generation.
WASP permits the user to find an optimal expansion plan for powergeneration over a long period of time and within the constraints identified.This may include fuel availability, emission restrictions, system reliability,etc. Each sequence of power plants that could be added and which meetsthe constraints, is evaluated by a cost function of capital, fuel, O&M, fuelinventory, salvage value of investments and cost of energy demand not served.
|https://www.iaea.org/OurWork/ST/NE/Pess/capacitybuilding.html||/ToolImages/wasp.png||Wien Automatic System Planning Package||PESS.Contact-Point@iaea.org||https://www.iaea.org/OurWork/ST/NE/Pess/capacitybuilding.html|
|41||SIEE||OLADE||Latin American energy statistics database||Web||Database||
SIEE is an nformation system containing data on the most important variables of the energy sector in Latin America and the Caribbean from 1970 to present.
SIEE consolidates information from the energy sector by establishing uniform criteria for standardization, and reliability. It presents historical time series data for the most important variables in the energy sector, from which you can identify key trends, identify the causes of changes in the composition of the energy mix, and the prospect of future behavior of the sector.
SIEE integrates vital information from across the energy sector including data for the energy balances of Latin American countries.
SIEE is intended to be used by ministries or departments of energy, public and private entities in the energy sector, universities, consultants and investors.
|http://www.olade.org/producto/sie-regional-2/modulo-siee/||$3500/year for up to 2 users||Sistema de Información Económico Energéticoemail@example.com||http://www.olade.org/|
|44||CityInSight||Sustainability Solutions Group||City-scale energy, emissions and finance model.||Unknown||Geospatial systems dynamics modeling||
The CityInSight energy, emissions and finance model for cities helps local and regional governments assess the impacts of potential land-use planning actions on GHG emissions, and public and private energy costs. This helps assess housing development impacts, transportation proposals, agriculture and forestry uses, solid and liquid waste approaches, energy delivery strategies, energy efficiency strategies and much more. CityInSight informs decision-makers about the energy and emissions impacts of their decisions, helping them achieve urban design, energy and emissions goals.
|http://cityinsight.ssg.coop/||Free and open source||/ToolImages/cityinsight.jpg||Unknown||http://www.ssg.coop/|
|48||CREST||NREL||Economic cash flow model to assess renewable energy project economics, design cost-based incentives, and evaluate support structures.||Excel||Accounting||
The Cost of Renewable Energy Spreadsheet Tool (CREST) is an economic cash flow model designed to allow policymakers, regulators, and the renewable energy community to assess project economics, design cost-based incentives (e.g., feed-in tariffs), and evaluate the impact of various state and federal support structures. CREST is a suite of four analytic tools, for solar (photovoltaic and solar thermal), wind, geothermal, and anaerobic digestion technologies.
CREST is a product of a 2009-2010 partnership between the National Renewable Energy Laboratory (NREL), the U.S. Department of Energy (DOE) Solar Energy Technologies Program (SETP), and the National Association of Regulatory Utility Commissions (NARUC). The model was developed by Sustainable Energy Advantage (SEA) under the direction of NREL.
|https://financere.nrel.gov/finance/content/crest-cost-energy-models||Free||/ToolImages/crest.jpg||Cost of Renewable Energy Spreadsheet Toolfirstname.lastname@example.org||http://www.nrel.gov/|
|49||FINPLAN||IAEA||Calculates the financial implications of an expansion plan for a power generating system||Web||Accounting||
FINPLAN evaluates the financial implications of an expansion planfor a power generating system. The model helps establish financialfeasibility of electricity generation projects by computing importantfinancial indicators while taking into account all costs, financing options,revenues, taxes, etc.
FINPLAN was designed to help energy analysts and decision makers inanalysing the financial implications of a power project. The model treats allexpenditures in a foreign and the local currency. The cash flows for allexpenditures in the respective currencies are maintained and the impact of future exchange rate changes is analysed. The model helps to analyse the impact of assumed future conditions that affect the financial health of a company.
|https://www.iaea.org/OurWork/ST/NE/Pess/capacitybuilding.html||/ToolImages/finplan.jpg||Financial Analysis of Electric Sector Expansion Plans||PESS.Contact-Point@iaea.org||https://www.iaea.org/OurWork/ST/NE/Pess/capacitybuilding.html|
|52||GsT||NREL||Exploration of renewable energy potential||Windows||Resource Assessment||
The Geospatial Toolkit is an NREL-developed map-based software application that integrates resource data and other geographic information systems (GIS) data for integrated resource assessment. The non-resource, country-specific data for each toolkit comes from a variety of agencies within each country as well as from global datasets.
Funding for the toolkit was provided by the United States Agency for International Development (USAID), United States Trade and Development Agency (USTDA), United Nations Environment Programme (UNEP), the U.S. Environmental Protection Agency (EPA), the U.S. Department of State (DOS), and the U.S. Department of Energy (DOE).
Originally developed in 2005, the Geospatial Toolkit was completely redesigned and re-released in November 2010 to provide a more modern, easier-to-use interface with considerably faster analytical querying capabilities.
|http://www.nrel.gov/international/geospatial_toolkits.html||Free||/ToolImages/gst.jpg||The Geospatial Toolkitemail@example.com||http://www.nrel.gov/|
|56||C-ROADS||Climate Interactive||Simulates climate impacts of policy scenarios to reduce GHG emissions.||Windows and Mac||Systems Dynamics||
C-ROADS is a free computer simulation program that helps people understand the long-term climate impacts of policy scenarios to reduce greenhouse gas emissions. It allows for the rapid summation of national greenhouse gas reduction pledges in order to show the long-term impact on our climate.
|https://www.climateinteractive.org/tools/c-roads/||Free||/ToolImages/c-roads.png||Climate change policy simulator||https://www.climateinteractive.org|
|57||think-cell||think-cell||Charting and layout software: useful for creating MACC curves and other chart types.||Windows||Data visualization||
Think-cell is a charting and layout software tool that automates PowerPoint work and improves slide creation efficiency and quality.
We use think-cell at SEI to help prepare charts and data visualizations in our reports, including Marginal Abatement cost curves (MACCs)
|https://www.think-cell.com||Free trial - contact "think-cell" thereafter.||/ToolImages/macc.jpg||think-cell||https://www.think-cell.com|
|58||JEDI||NREL||Jobs and economic impacts of implementing energy sector facilities.||Excel||Economic cost-benfit analysis (economic multipliers)||
The Jobs and Economic Development Impacts (JEDI) International Model allows users to estimate job creation and economic development impacts from international energy sector projects. It includes default information that can be utilized to run a generic impact analysis assuming industry averages. The models have a particular focus on renewable energy technologies.