A Probabilistic Model for Minimization of Solar Energy Operation Costs as Well as CO<inf>2</inf> Emissions in a Multi-Carrier Microgrid (MCMG) Ranjbarzadeh, H, Tafreshi, SMM, Ali, MH, Kouzani, Abbas and Khoo, Sui Yang 2022, A Probabilistic Model for Minimization of Solar Energy Operation Costs as Well as CO2 Emissions in a Multi-Carrier Microgrid (MCMG), Energies, vol. 15, no. 9, doi: 10.3390/en15093088. Title A Probabilistic Model for Minimization of Solar Energy Operation Costs as Well as CO2 Emissions in a Multi-Carrier Microgrid (MCMG) Author(s) Ranjbarzadeh, H Tafreshi, SMM Ali, MH Kouzani, Abbas orcid.org/0000-0002-6292-1214 Khoo, Sui Yang orcid.org/0000-0003-0455-2710 Journal name Energies Volume number 15 Issue number 9 Article ID 3088 Total pages 24 Publisher MDPI AG Place of publication Basel, Switzerland Publication date 2022 ISSN 1996-1073 Keyword(s) fuzzy weighted sum technique EHP point estimate method multi-objective optimization responsive equipment residential energy hub Science & Technology Technology Energy & Fuels MANAGEMENT HUB WIND SYSTEMS STORAGE Summary This paper proposes a probabilistic model with the aim to reduce the solar energy operation cost and CO2 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 CO2 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. Language eng DOI 10.3390/en15093088 Field of Research 02 Physical Sciences 09 Engineering HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30167232 Document type: Journal Article Collection: Faculty of Science, Engineering and Built Environment Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 28 Apr 2022, 10:58:47 EST Fri, 29 Apr 2022, 08:19:16 EST Fri, 29 Apr 2022, 08:23:50 EST Mon, 02 May 2022, 16:12:15 EST Wed, 18 May 2022, 16:49:10 EST Tue, 02 Aug 2022, 12:50:30 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 3 Abstract Views  -  Detailed Statistics Created: Thu, 28 Apr 2022, 10:58:47 EST