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A Cost-Benefit Analysis of Bakhtiari Hydropower Dam Considering the Nexus between Energy and Water. ENERGIES 2022. [DOI: 10.3390/en15030871] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
Hydropower stations have supplied most of the green electricity in various parts of the world. Nonetheless, the economic profit of hydro-electricity lies beyond its social costs in many cases. Despite the short-term economic benefits of large dams, their sustainable pros and cons are doubted. This study aims to investigate the long-term profitability of large hydropower stations by considering the nexus between the environmental, economic, and social aspects. Much progress has been made in simplifying feasibility studies of hydropower stations by developing comprehensive software and models according to the United Nations Sustainable development goals. Developed by International Atomic Energy Agency (IAEA), the SimPacts has become one of the most frequently-used simple models to estimate the external costs of electricity generation since 2003. Hydropower’s Environmental Costs Analysis Model (HECAM) is a popular user-friendly version of the model that includes more details for benefits estimation. In the present investigation, sedimentation and evaporation effects of constructing hydropower dams are added to previous cost estimation factors to upgrade the HECAM model to HECAM II. Bakhtiari hydropower dam (located in Lorestan province in Iran) is employed as a case study to verify the new model. The results showed that the total cost and revenue, as well as the benefit to cost ratio, were 79.13 US$/MWh, 203 US$/MWh, and 2.57, respectively. The new HECAM II model showed that the operation of Bakhtiari Dam would alleviate the socio-environmental doubts through a long-term plan in the region.
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Roth A, Pinta F, Negny S, Montastruc L. Importing participatory practices of the socio-environmental systems community to the process system engineering community: An application to supply chain. Comput Chem Eng 2021. [DOI: 10.1016/j.compchemeng.2021.107530] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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OMEGAlpes, an Open-Source Optimisation Model Generation Tool to Support Energy Stakeholders at District Scale. ENERGIES 2021. [DOI: 10.3390/en14185928] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Energy modelling is key in order to face the challenges of energy transition. There is a wide variety of modelling tools, depending on their purpose or study phase. This article summarises their main characteristics and highlights ones that are relevant when it comes to the preliminary design of energy studies at district scale. It introduces OMEGAlpes, a multi-carrier energy modelling tool to support stakeholders in the preliminary design of district-scale energy systems. OMEGAlpes is a Mixed-Integer Linear Programming (MILP) model generation tool for optimisation. It aims at making energy models accessible and understandable through its open-source development and the integration of energy stakeholders and their areas of responsibility into the models. A library of use cases developed with OMEGAlpes is presented and enables the presentation of past, current, and future development with the tool, opening the way for future developments and collaborations.
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