A Probabilistic Model for Minimization of Solar Energy Operation Costs as Well as CO<sub>2</sub> Emissions in a Multi-Carrier Microgrid (MCMG)
This paper proposes a probabilistic model with the aim to reduce the solar energy operation cost and CO<sub>2</sub> emissions of a multi-carrier microgrid. The MCMG in this study includes various elements such as combined heat and power (CHP), electrical heat pump (EHP), absorption chill...
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2022-04-01
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author | Hassan Ranjbarzadeh Seyed Masoud Moghaddas Tafreshi Mohd Hasan Ali Abbas Z. Kouzani Suiyang Khoo |
author_facet | Hassan Ranjbarzadeh Seyed Masoud Moghaddas Tafreshi Mohd Hasan Ali Abbas Z. Kouzani Suiyang Khoo |
author_sort | Hassan Ranjbarzadeh |
collection | DOAJ |
description | This paper proposes a probabilistic model with the aim to reduce the solar energy operation cost and CO<sub>2</sub> emissions of a multi-carrier microgrid. The MCMG in this study includes various elements such as combined heat and power (CHP), electrical heat pump (EHP), absorption chiller, solar panels, and thermal and electrical storages. A MILP model is proposed to manage the commitment of energy producers, energy storage equipment, the amount of selling/buying of energy with the upstream network, and the energy consumption of the responsible electrical loads for the day-ahead optimal operation of this microgrid. The proposed operation model is formulated as a multi-objective optimization model based on two environmental and economic objectives, using a weighted sum technique and a fuzzy satisfying approach. In this paper, the 2 m + 1-point estimate strategy has been used to model the uncertainties caused by the output power of solar panels and the upstream power supply price. In order to evaluate the performance of the proposed model, and also for minimizing cost and CO<sub>2</sub> emissions, the simulation was conducted on two typical cold and hot days. Numerical results show the proposed model’s performance and the effect of electrifying the heating and cooling of the microgrid through the EHP unit on greenhouse gas emissions in the scenarios considered. |
first_indexed | 2024-03-10T04:13:28Z |
format | Article |
id | doaj.art-d44f582d9bde4ec3975070476c7eba80 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-10T04:13:28Z |
publishDate | 2022-04-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-d44f582d9bde4ec3975070476c7eba802023-11-23T08:06:22ZengMDPI AGEnergies1996-10732022-04-01159308810.3390/en15093088A Probabilistic Model for Minimization of Solar Energy Operation Costs as Well as CO<sub>2</sub> Emissions in a Multi-Carrier Microgrid (MCMG)Hassan Ranjbarzadeh0Seyed Masoud Moghaddas Tafreshi1Mohd Hasan Ali2Abbas Z. Kouzani3Suiyang Khoo4School of Engineering, Deakin University, Geelong, VIC 3216, AustraliaElectrical Engineering Department, University of Guilan, Rasht P.O. Box 1841, IranElectrical and Computer Engineering Department, University of Memphis, Memphis, TN 38152, USASchool of Engineering, Deakin University, Geelong, VIC 3216, AustraliaSchool of Engineering, Deakin University, Geelong, VIC 3216, AustraliaThis paper proposes a probabilistic model with the aim to reduce the solar energy operation cost and CO<sub>2</sub> emissions of a multi-carrier microgrid. The MCMG in this study includes various elements such as combined heat and power (CHP), electrical heat pump (EHP), absorption chiller, solar panels, and thermal and electrical storages. A MILP model is proposed to manage the commitment of energy producers, energy storage equipment, the amount of selling/buying of energy with the upstream network, and the energy consumption of the responsible electrical loads for the day-ahead optimal operation of this microgrid. The proposed operation model is formulated as a multi-objective optimization model based on two environmental and economic objectives, using a weighted sum technique and a fuzzy satisfying approach. In this paper, the 2 m + 1-point estimate strategy has been used to model the uncertainties caused by the output power of solar panels and the upstream power supply price. In order to evaluate the performance of the proposed model, and also for minimizing cost and CO<sub>2</sub> emissions, the simulation was conducted on two typical cold and hot days. Numerical results show the proposed model’s performance and the effect of electrifying the heating and cooling of the microgrid through the EHP unit on greenhouse gas emissions in the scenarios considered.https://www.mdpi.com/1996-1073/15/9/3088residential energy hubresponsive equipmentmulti-objective optimizationpoint estimate methodEHPweighted sum technique |
spellingShingle | Hassan Ranjbarzadeh Seyed Masoud Moghaddas Tafreshi Mohd Hasan Ali Abbas Z. Kouzani Suiyang Khoo A Probabilistic Model for Minimization of Solar Energy Operation Costs as Well as CO<sub>2</sub> Emissions in a Multi-Carrier Microgrid (MCMG) Energies residential energy hub responsive equipment multi-objective optimization point estimate method EHP weighted sum technique |
title | A Probabilistic Model for Minimization of Solar Energy Operation Costs as Well as CO<sub>2</sub> Emissions in a Multi-Carrier Microgrid (MCMG) |
title_full | A Probabilistic Model for Minimization of Solar Energy Operation Costs as Well as CO<sub>2</sub> Emissions in a Multi-Carrier Microgrid (MCMG) |
title_fullStr | A Probabilistic Model for Minimization of Solar Energy Operation Costs as Well as CO<sub>2</sub> Emissions in a Multi-Carrier Microgrid (MCMG) |
title_full_unstemmed | A Probabilistic Model for Minimization of Solar Energy Operation Costs as Well as CO<sub>2</sub> Emissions in a Multi-Carrier Microgrid (MCMG) |
title_short | A Probabilistic Model for Minimization of Solar Energy Operation Costs as Well as CO<sub>2</sub> Emissions in a Multi-Carrier Microgrid (MCMG) |
title_sort | probabilistic model for minimization of solar energy operation costs as well as co sub 2 sub emissions in a multi carrier microgrid mcmg |
topic | residential energy hub responsive equipment multi-objective optimization point estimate method EHP weighted sum technique |
url | https://www.mdpi.com/1996-1073/15/9/3088 |
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