Global Sensitivity Analysis for Design and Operation of Distributed Energy Systems

Mel, Ishanki De; Demis, Panagiotis; Dorneanu, Bogdan; Klymenko, Oleksiy V.; Mechleri, Evgenia; Arellano‐García, Harvey

doi:10.1016/b978-0-12-823377-1.50254-8

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…DES improve energy delivery systems and operations for managing electricity and its storage system to support a sustainable energy mix worldwide. There is a need for a global shift towards a sustainable resilience energy system that helps displace coal, gas, and oil resources with alternative sources of renewable energy, including solar panels and wind turbine manufacturing [6,7].…”

Section: Introductionmentioning

confidence: 99%

Innovative Carbon Mitigation Techniques to Achieve Environmental Sustainability Agenda: Evidence from a Panel of 21 Selected R&D Economies

et al. 2021

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Technological innovation in the energy sector is highly needed to reduce carbon emission costs, which requires knowledge spillovers, financial development, and carbon pricing to achieve a green developmental agenda. The current study examines the role of knowledge innovations in achieving the environmental sustainability agenda under financial development and carbon pricing in a panel of 21 selected R&D economies from 1990 to 2018. The study constructed a composite index of financial development and knowledge innovation in the carbon pricing model. The results show that carbon pricing, a financial development index, innovation index, and energy demand fail to achieve stringent carbon reduction targets. A U-shaped relationship is found between carbon emissions and per capita income in the absence of a financial development index and trade openness. At the same time, this study shows the monotonic decreasing function in the presence of all factors. The causality estimates confirmed the feedback relationship between carbon pricing and carbon emissions, carbon pricing and the financial index, and the financial development index and innovation index. Further, the causality results established the carbon-led financial development and innovation, growth-led carbon emissions, and trade-led emissions, pricing, and financial development in a panel of selected countries. The estimates of the innovation accounting matrix (forecasting mechanism) confirmed the viability of the environmental sustainability agenda through carbon pricing, knowledge innovation, and financial development over a time horizon. However, these factors are not achievable carbon reduction targets in a given period. The study concludes that carbon pricing may provide a basis for achieving an environmental sustainability agenda through market-based innovations, green financing options, and improved energy resources. This would ultimately help desensitize carbon emissions across countries.

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Section: Introductionmentioning

confidence: 99%

Innovative Carbon Mitigation Techniques to Achieve Environmental Sustainability Agenda: Evidence from a Panel of 21 Selected R&D Economies

et al. 2021

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Global sensitivity analysis and stochastic optimization of multi-energy complementary distributed energy system considering multiple uncertainties

Zhang

Wang

et al. 2023

Journal of Cleaner Production

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The Optimal Selection of Renewable Energy Systems Based on MILP for Two Zones in Mexico

Contreras,

Badaoui,

Baltazar

2024

Sustainability

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This paper presents a series of enhancements to a previously proposed mixed-integer linear programming (MILP) model for investment decisions and operational planning in distributed generation (DG) systems. The main contribution of this study consists of integrating a wind generation system and multiple loads at different buses in a network. The model considers dynamic weather data, energy prices, costs related to photovoltaic and wind systems, storage systems, operational and maintenance costs, and other pertinent factors, such as efficiencies, geographical locations, resource availability, and different load profiles. The simulation results obtained through implementation in Julia’s programming language illustrate that the MILP formulation maximizes the net present value, and four configurations for hybrid power generation systems in Mexico are analyzed. The objective is to enable profitability assessment for investments in large-capacity DG systems in two strategic zones of Mexico. The results show that the configurations in the NE zone, especially in Tamaulipas, are the most cost-effective. Case 1 stands out for its highest net present value and shortest payback time, while Case 2 offers the highest energy savings. In addition, Cases 3 and 4, which incorporate storage systems, exhibit the longest payback periods and the lowest savings, indicating less favorable economic performance compared with Cases 1 and 2. Moreover, the sales of two case studies, one without a storage system and the other with a storage system, are shown. The model also incorporates instruments for buying or selling energy in the wholesale electricity market, including variables that depict the injected energy into the electrical grid. This comprehensive approach provides a detailed overview of optimal energy management.

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Global Sensitivity Analysis for Design and Operation of Distributed Energy Systems

Cited by 3 publications

References 7 publications

Innovative Carbon Mitigation Techniques to Achieve Environmental Sustainability Agenda: Evidence from a Panel of 21 Selected R&D Economies

Innovative Carbon Mitigation Techniques to Achieve Environmental Sustainability Agenda: Evidence from a Panel of 21 Selected R&D Economies

Global sensitivity analysis and stochastic optimization of multi-energy complementary distributed energy system considering multiple uncertainties

The Optimal Selection of Renewable Energy Systems Based on MILP for Two Zones in Mexico

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