Economic-environmental evaluation of industrial energy parks integrated with CCHP units under a hybrid IGDT-stochastic optimization approach

Guo, Qun; Nojavan, Sayyad; Shi, Lei; Liang, Xiaodan

doi:10.1016/j.jclepro.2021.128364

Cited by 28 publications

(9 citation statements)

References 37 publications

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“…Exploring regional efficiency is important for countries to formulate and adjust regional development policies, as well as to understand the utilisation efficiency of regional factor resources. China accounted for 16 of the world's 20 most polluted cities, according to the World Bank's 2001 development report [23].…”

Section: Manufacturing Resource Optimization Methodmentioning

confidence: 99%

Sustainable Development Analysis Model Using Multi-objective Optimization and Regional Efficiency Evaluation

Jia

Luo

2022

Mobile Information Systems

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Regional efficiency refers to the ratio of the effective total output and the total input of regional factor resources under certain production technology conditions. At present, China’s traditional economic growth mode is based on the mode of sacrificing the environment for economic growth. At the same time, the influence and restriction of natural resources and natural environment on human social and economic development are more obvious than ever before. The contradiction between social and economic development, resources, and environmental preservation has become increasingly prominent. Problems such as resource shortage, environmental pollution, and ecological imbalance have exposed the disadvantages of the traditional development model, and so human beings have begun to seek new high-quality development models. Therefore, the research on regional efficiency in this paper is based on the idea of coordinated development of resources, environment and social economy, and multi-objective optimization algorithm, which constructs the evaluation index system of regional efficiency, comprehensively measures the regional efficiency, and inspects the development status. Evaluating the regional efficiency is conducive to analyzing the problems existing in regional development, saving resources, and promoting the sustainable development of the region.

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Section: Manufacturing Resource Optimization Methodmentioning

confidence: 99%

Sustainable Development Analysis Model Using Multi-objective Optimization and Regional Efficiency Evaluation

Jia

Luo

2022

Mobile Information Systems

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“…Numerous studies have focused on the concept of EH and its application in integrating multi-carrier energy systems such as CCHP in the smart grid. In [18], the concept of operational flexibility in CCHP, considering both economic and environmental aspects, is investigated to enhance a compromise point between mentioned goals. The concept of following electrical and thermal loads via purchasing electricity and gas from the grid and comparing these modes is investigated in [19].…”

Section: Literature Reviewmentioning

confidence: 99%

Risk-embedded scheduling of a CCHP integrated with electric vehicle parking lot in a residential energy hub considering flexible thermal and electrical loads

et al. 2023

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“…In [38], a hybrid method combined IGDT and SP to deal with the uncertainties of wind generation, energy demands, and electricity market prices. The SP has been developed to take into account the uncertainties of the demands and electricity prices, and IGDT has been used to cope with the uncertainty of wind power.…”

Section: B Combination Of Sp and Igdtmentioning

confidence: 99%

Operation and Planning of Energy Hubs Under Uncertainty—A Review of Mathematical Optimization Approaches

et al. 2023

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Co-designing energy systems across multiple energy carriers is increasingly attracting attention of researchers and policy makers, since it is a prominent means of increasing the overall efficiency of the energy sector. Special attention is attributed to the so-called energy hubs, i.e., clusters of energy communities featuring electricity, gas, heat, hydrogen, and also water generation and consumption facilities. Managing an energy hub entails dealing with multiple sources of uncertainty, such as renewable generation, energy demands, wholesale market prices, etc. Such uncertainties call for sophisticated decision-making techniques, with mathematical optimization being the predominant family of decision-making methods proposed in the literature of recent years. In this paper, we summarize, review, and categorize research studies that have applied mathematical optimization approaches towards making operational and planning decisions for energy hubs. Relevant methods include robust optimization, information gap decision theory, stochastic programming, and chance-constrained optimization. The results of the review indicate the increasing adoption of robust and, more recently, hybrid methods to deal with the multi-dimensional uncertainties of energy hubs.

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Economic-environmental evaluation of industrial energy parks integrated with CCHP units under a hybrid IGDT-stochastic optimization approach

Cited by 28 publications

References 37 publications

Sustainable Development Analysis Model Using Multi-objective Optimization and Regional Efficiency Evaluation

Sustainable Development Analysis Model Using Multi-objective Optimization and Regional Efficiency Evaluation

Risk-embedded scheduling of a CCHP integrated with electric vehicle parking lot in a residential energy hub considering flexible thermal and electrical loads

Operation and Planning of Energy Hubs Under Uncertainty—A Review of Mathematical Optimization Approaches

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