District cooling systems in Iranian energy matrix, a techno-economic analysis of a reliable solution for a serious challenge

Jannatabadi, Mohsen; Rahbari, Hamid Reza; Arabkoohsar, Ahmad

doi:10.1016/j.energy.2020.118914

Cited by 21 publications

(7 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The change of safety investment structure and strength will inevitably lead to the change of the overall safety state of the safety model. This change will affect the supply through the feedback of increasing or reducing the supply of safety resources in response to the control mechanism of accident risk [ 15 – 17 ]. This constitutes the feedback loop in the economic model of wind power generation, as shown in Figure 1 .…”

Section: Modeling and Analysis Methods Of Economic Benefits Of Wind P...mentioning

confidence: 99%

[Retracted] Benefit Modeling and Analysis of Wind Power Generation under Social Energy Economy and Public Health

Liu

Karim

Khalid

et al. 2022

Journal of Environmental and Public Health

View full text Add to dashboard Cite

Wind is a renewable energy source. Overall, using wind to produce energy has fewer effects on the environment than many other energy sources. Wind and solar energy provide public health and environmental benefits to the social. Wind turbines may also reduce the amount of electricity generation from fossil fuels, which results in lower total air pollution and carbon dioxide emissions. In order to better optimize the effect of social energy economic management and facilitate the multiobjective decision making of coordinated development of energy and socioeconomic environment, a modeling and analysis method of economic benefits of wind power generation based on deep learning is proposed. In this paper, based on the principle of deep learning, the evaluation indicators of wind power economic benefits are excavated, a scientific and reasonable economic benefit evaluation system is constructed, a wind power economic benefit analysis model supported by public management is constructed, and the steps of wind power economic benefit analysis are simplified. It is concluded that the modeling and analysis method of wind power economic benefits based on deep learning has high practicability in the actual application process, which is convenient for the prediction and analysis of energy demand for social and economic development.

show abstract

Section: Modeling and Analysis Methods Of Economic Benefits Of Wind P...mentioning

confidence: 99%

[Retracted] Benefit Modeling and Analysis of Wind Power Generation under Social Energy Economy and Public Health

Liu

Karim

Khalid

et al. 2022

Journal of Environmental and Public Health

View full text Add to dashboard Cite

show abstract

“…The N is considered to be 20 years for the ACNP. The price of natural gas and interest rate is supposed to be 0.222 ($/GJ) [34,32] and 14%, respectively, [35]. The inflation rate, real interest rate, price of buying electricity, and t year are considered 5%, 18%, 0.018 ($/kWh) [32], and 7000 (hour per year), respectively.…”

Section: Economic Analysis Resultsmentioning

confidence: 99%

“…The price of natural gas and interest rate is supposed to be 0.222 ($/GJ) [34,32] and 14%, respectively, [35]. The inflation rate, real interest rate, price of buying electricity, and t year are considered 5%, 18%, 0.018 ($/kWh) [32], and 7000 (hour per year), respectively. Since ACNP produces cooling, Ẇ Net is plant cooling capacity and calculated by using eq.…”

Section: Economic Analysis Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Thermo-economic analysis and optimization of the steam absorption chiller network plant

et al. 2022

View full text Add to dashboard Cite

Absorption chillers are one of the most used equipment in industrial, commercial, and domestic applications. For the places where high cooling is required, they are utilized in a network to perform the cooling demand. The main objective of the current study was to find the optimum operating conditions of a network of steam absorption chillers according to energy and economic viewpoints. Firstly, energy and economic analysis and modeling of the absorption chiller network were carried out to have a deep understanding of the network and investigate the effects of operating conditions. Finally, the particle swarm optimization search algorithm was employed to find an optimum levelized total costs of the plant. The absorption chiller network plant of the Marun Petrochemical Complex in Iran was selected as a case study. To verify the simulation results, the outputs of energy modeling were compared with the measured values. The comparison with experimental results indicated that the developed model could predict the working condition of the absorption chiller network with high accuracy. The economic analysis results revealed that the levelized total costs of the plant is 1730 $/kW and the payback period is three years. The optimization findings indicated that working at optimal conditions reduces the levelized total costs of the plant by 8.5%, compared to the design condition.

show abstract

“…The ranges of the electricity sales price and fuel price are based on 25% changes compared to the current price presented in literature [34][35][36].…”

Section: Discussionmentioning

confidence: 99%

Techno-economic Optimization of Combined Cooling, Heat and Power System Based on Response Surface Methodology

Kazemian

Nassab

Javarana

2021

IJEE

View full text Add to dashboard Cite

District cooling systems in Iranian energy matrix, a techno-economic analysis of a reliable solution for a serious challenge

Cited by 21 publications

References 25 publications

[Retracted] Benefit Modeling and Analysis of Wind Power Generation under Social Energy Economy and Public Health

[Retracted] Benefit Modeling and Analysis of Wind Power Generation under Social Energy Economy and Public Health

Thermo-economic analysis and optimization of the steam absorption chiller network plant

Techno-economic Optimization of Combined Cooling, Heat and Power System Based on Response Surface Methodology

Contact Info

Product

Resources

About