Technical, economic and environmental analyses of combined heat and power (CHP) system with hybrid prime mover and optimization using genetic algorithm

Mehregan, Mahmood; Abbasi, Mohammad Hosein; Hashemian, Seyed Majid

doi:10.1016/j.seta.2021.101697

Cited by 7 publications

(6 citation statements)

References 49 publications

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“…According to the "World energy Balances: Overview" (2018), by the International Energy Agency (IEA)", biomass (materials and residues of agricultural and forestry origin, secondary products and waste from the agri-food industry, livestock waste and urban waste) was the first source of energy used by humans, and it is still one of the most widespread. Due to being a green alternative to fossil fuels (wood chip-0.015 kg CO2e/kWh compared to 0.204 kg CO2e/kWh natural gas), it is used for feeding several energy systems, such as CHP/DH, providing thermal energy to a wider range of stakeholders (Mehregan et al 2022;Millar et al 2019). Among the biomass type, the woodchip one is particularly interesting due to the low energy requirements for its production and with very stable burning compared to other solid biofuels (Gonzalez et al 2015;Toscano et al 2016).…”

Section: Nomenclaturementioning

confidence: 99%

A new concept of a thermal network for energy resilience in mountain communities powered by renewable sources

Pompei

Nardecchia

Bisegna

2023

Sustainable Energy, Grids and Networks

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Section: Nomenclaturementioning

confidence: 99%

A new concept of a thermal network for energy resilience in mountain communities powered by renewable sources

Pompei

Nardecchia

Bisegna

2023

Sustainable Energy, Grids and Networks

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“…Three objectives were considered in this study including system efficiency, power density, and oxygen distribution uniformity on the cathode catalyst layer. Mehregan et al [153] applied the GA to optimize a CHP plant with two prime movers. The objective functions were minimizing the fuel consumption and plant emissions and maximizing the efficiency of the system.…”

Section: • Genetic Algorithmmentioning

confidence: 99%

Optimization of Combined Heat and Power Systems by Meta-Heuristic Algorithms: An Overview

Alsagri

Alrobaian

2022

Energies

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Combined heat and power (CHP) plants are known as efficient technologies to reduce environmental emissions, balance energy costs, and increase total energy efficiency. To obtain a more efficient system, various optimization methods have been employed, based on numerical, experimental, parametric, and algorithmic optimization routes. Due to the significance of algorithmic optimization, as a systematic method for optimizing energy systems, this novel review paper is focused on the meta-heuristic optimization algorithms, implemented in CHP energy systems. By considering the applied objective functions, the main sections are divided into single-objective and multi-objective algorithms. In each case, the units’ combination is briefly detailed, the objective functions are introduced, and analyses are conducted. The main aim of this paper is to gather a database for the optimization of CHPs, demonstrate the effect of the applied optimization methods on the objective functions, and finally, introduce the most efficient methods. The most significant feature of this paper is that it covers all types of CHP optimization issues including scheduling, sizing, and designing problems, finding the extent of each optimization issue in the relevant papers in the last decade. Based on the findings, in the single-objective problems the combined heat and power economic dispatch (CHPED) issue as a subcategory of the scheduling problems is introduced as the most paid topic; the designing issue is known as the lowest paid topic. In the multi-objective problems, working on various types of CHP optimization problems has been conducted with an almost similar share. The combined heat and power economic emission dispatch (CHPEED) problem with the most share, and the sizing issue with the lowest share. The CHP designing and sizing optimization issues could be introduced as topics to work on more in the future. Additionally, the numerical results of CHPED and CHPEED problems solved by various algorithms are presented and compared. In this regard, specified test systems are considered.

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“…The following constraints represent the upper and lower bounds of the variables to be optimised: 0 ≤ 𝑃 𝑔𝑟𝑖𝑑,𝑖 𝐸 , 𝑃 𝐶𝐻𝑃,𝑖 𝐺 ≤ 9999 (13) 0 ≤ 𝑃 𝑐ℎ,𝑖 𝑇𝐸𝑆 ≤ 1000 (14) 0 ≤ 𝑃 𝑑𝑖𝑠,𝑖 𝑇𝐸𝑆 ≤ 1000 (15) 0 ≤ 𝑃 𝑐ℎ,𝑖 𝐵 ≤ 200 (16) 0 ≤ 𝑃 𝑑𝑖𝑠,𝑖 𝐵 ≤ 200 (17) where the lower bounds for both electricity and gas consumption are assigned to 0, as shown by ( 13), as the capability to export surplus electricity to the external grid is not assumed as possible. For simplicity, the upper bounds of gas and electricity consumption are assigned to large values to let the optimisation algorithm explore all feasible combinations of gas and electricity to be consumed every hour.…”

Section: Optimisation Algorithmmentioning

confidence: 99%

“…The genetic algorithm presented in this reference also enables the reduction of carbon emissions. The studies in [12] and [13] evidence the applicability of different optimisation algorithms to model the operation of IESs.…”

Section: Introductionmentioning

confidence: 96%

“…A hierarchical decoupling algorithm to ensure the optimal dispatch of an IES was presented in [12], where a real heat network is implemented and the impact of the coupling degree of the system is considered. In [13], a new arrangement for a combined heat and power (CHP) system is proposed, with the effects of parameters such as air to fuel ratio, compression ratio, and pressure ratio being considered in the optimisation algorithm. The genetic algorithm presented in this reference also enables the reduction of carbon emissions.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Operation of a Public Health Facility considering Energy Storage Retrofits

Daniel¹,

Sandoval²,

Saikia³

et al. 2022

Preprint

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Integrated energy systems can benefit substantially from flexibility provision in their operations. This paper explores the operational cost optimisation of a UK public facility dedicated to health services by harnessing the flexibility gained from available gas and electricity grid inputs, a combined heat and power unit, and integration of thermal and electrical energy storage units into the local network. The optimisation algorithm assists in the sizing of the storage units under different cases of fuel price and energy storage efficiency. Optimal integration of energy storage results in operational cost savings of £7.6/day under normal operating conditions and of £64.7/day for an elevated gas price. The findings are based on real-time energy price and demand profiles and reveal that the local energy system benefits more from the thermal stores than from electrical energy storage.

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Technical, economic and environmental analyses of combined heat and power (CHP) system with hybrid prime mover and optimization using genetic algorithm

Cited by 7 publications

References 49 publications

A new concept of a thermal network for energy resilience in mountain communities powered by renewable sources

A new concept of a thermal network for energy resilience in mountain communities powered by renewable sources

Optimization of Combined Heat and Power Systems by Meta-Heuristic Algorithms: An Overview

Optimal Operation of a Public Health Facility considering Energy Storage Retrofits

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