Exploring the impact space of different technologies using a portfolio constraint based approach for multi-objective optimization of integrated urban energy systems

Jing, Rui; Kuriyan, Kamal; Kong, Qingyuan; Zhang, Zhihui; Shah, Nilay; Li, Ning; Zhao, Yingru

doi:10.1016/j.rser.2019.109249

Cited by 39 publications

(16 citation statements)

References 36 publications

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“…power generation capacity, gas and electricity transmission corridors, CHP units and gas furnaces, to meet forecasted thermal and electrical loads at minimum cost. The simulated scenarios demonstrate that planning under the umbrella of EH faces with a certain degree of flexibility for energy supply, resulting in less investment and operation costs, more reliability, and higher EE, as outlined in [9][10][11][12][13] addressing operation planning of heat, gas, and electricity systems in the framework of an energy hub.…”

Section: Literature Reviewmentioning

confidence: 95%

“…Incremental rate of demand growth along with today's ESs' requirements, such as higher EE, better assets management, and more precise planning models owing to tremendous capability enhancement of computer systems as well as soft computing methods realizing the optimization of sophisticated models, from the other hand, in fact, have highlighted the necessity of concentrating on the EH approach. Reviewing the advantages and capabilities originated from this approach in ESs planning, scrutinized in a multitude of studies [3][4][5][6][7][8][9][10][11][12][13], helps to better appreciate this concept.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Through a multitude of studies, up to now, diverse definitions and models of the EH concept have been presented [6], [4]- [13]. Referring to [6], as one the first articles using the expression of EH, an energy hub is defined as a set of interface equipment between energy sources and end-users.…”

Section: -The Energy Hub: a Step Toward The Sustainable Developmentmentioning

confidence: 99%

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Heat and Electricity Supply Chains Expansion Planning Under the Umbrella of Energy Hub: A Case Study of Iran

et al. 2020

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Increases in tightening the correlation of gas and electricity systems (G&ES), affected by diverse factors, ranging from anthropogenic climate change to the advent of new conversion/generation technologies, have remarkably brought the co-expansion of G&ES using a new concept, the socalled Energy Hub (EH), as well as the potential of storage systems into focus. To assess the effectiveness of EH approach and the role of storages in the coordinated plans of G&ES, this paper proposes a comprehensive EH-based planning model for co-expansion of G&ES supply chains with respect to the role of gas storage systems (GSSs). As a mixed-integer linear programming (MILP) problem, the model is applied to a real large-scale case study, i.e. the Iranian G&ES and is solved via the GAMS package. The simulation results reveal that incorporation of the interactions existing between G&ES into their planning problems in the framework of an EH can reach more flexible, realistic and optimal expansion plans compared with their traditional integrated expansion planning methods. Furthermore, findings show that the involvement capacities of GSSs provides the opportunity of optimal matching of demand with supply by increasing the productivity of the gas pipelines, allowing technically and economically sensible long-term management of gas supply systems.

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Section: Literature Reviewmentioning

confidence: 95%

Section: Literature Reviewmentioning

confidence: 99%

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Heat and Electricity Supply Chains Expansion Planning Under the Umbrella of Energy Hub: A Case Study of Iran

et al. 2020

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“…This Appendix provides more information for the MILP model in this paper. The deterministic model in the present study is based on our previous work [42]. Here the stochastic formulations are described in detail as follows.…”

Section: Declaration Of Interestmentioning

confidence: 99%

Quantifying the contribution of individual technologies in integrated urban energy systems – A system value approach

et al. 2020

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Integrated urban energy systems satisfy energy demands in a cost-effective manner by efficiently combining diverse technologies and energy saving strategies. However, the contribution of an individual technology within a complex system is difficult to quantify. This study introduces a generalized "system value" approach to quantify the contribution of an individual design decision towards improving the system design (e.g., achieving a lower cost design). It measures the contribution of an individual technology to the whole system in the range between two benchmarks that respectively represent complete exclusion of the technology and the optimal penetration level. The method is based on a technology-rich Mixed Integer Linear Programming (MILP) model for optimal design of urban energy systems. The model considers multi-energy supply technologies, networks, storage technologies and various energy saving strategies. A stochastic formulation is further developed to quantify uncertainties of the system value. The system values of nine kinds of energy supply technologies and three categories of energy-saving strategies are quantified via a case study, which illustrates the variation in the system values for individual technologies with different levels of penetration, and multi-energy supply technologies can have a large impact in integrated systems.

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“…To address knowledge gaps, we propose an integrative framework to model the emerging supply chains and design strategies for reusing the retired EV batteries in DES. By coupling game theory approach [23][24][25] and DES design optimisation [26][27][28] , the interaction of supply chain nodes, including government agencies, EV and battery manufacturing sectors, DES sectors, and dismantling and recycling (D&R) sectors are modelled. Developing a case study on retired EV battery applications in China, we demonstrate the new insights such modelling framework can generate to inform decision-making on economic and technique aspects of utilising EV retired batteries in DES applications.…”

Section: Introductionmentioning

confidence: 99%

Emerging supply chain of utilising electrical vehicle retired batteries in distributed energy systems

Jiang

Wang

Shah

et al. 2020

Preprint

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Increasing electric vehicles (EV) penetration leads to significant challenges in EV battery disposal. Reusing retired batteries in distributed energy systems (DES) offers resource-circular solutions. We propose an optimisation framework to model the emerging supply chains and design strategies for reusing the retired EV batteries in DES. Coupling a supply chain profit-allocation model with a DES design optimisation model, the framework maximises the whole chain profit and enables fair profit distribution between three interactive sectors, i.e., EV, DES, dismantling and recycle (D&R) sectors. Our research highlights the system implications of retired batteries on DES design and new modelling insights into incentive policy effectiveness. Our case study suggests significant potential value chain profits (2.65 million US$) achieved by deploying 10.7 MWh of retired batteries in the DES application with optimal retired battery price of 138 US$/kWh. The revenue support on D&R sector is suggested as a promising incentive scheme than tariff support.

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Exploring the impact space of different technologies using a portfolio constraint based approach for multi-objective optimization of integrated urban energy systems

Cited by 39 publications

References 36 publications

Heat and Electricity Supply Chains Expansion Planning Under the Umbrella of Energy Hub: A Case Study of Iran

Heat and Electricity Supply Chains Expansion Planning Under the Umbrella of Energy Hub: A Case Study of Iran

Quantifying the contribution of individual technologies in integrated urban energy systems – A system value approach

Emerging supply chain of utilising electrical vehicle retired batteries in distributed energy systems

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