Techno-economic analysis of co-combustion of Indian coals with municipal solid waste in subcritical and supercritical based steam turbine power generating carbon-negative systems

Sahu, Pradeep; Prabu,

doi:10.1016/j.energy.2021.121053

Cited by 12 publications

(3 citation statements)

References 46 publications

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“…The average thermoelectric ratio of the system in winter, summer and total for both seasons is calculated by Eqs. ( 5) to (7), respectively.…”

Section: System Operating Strategymentioning

confidence: 99%

“…It has been shown that when MSW is used together with agricultural biomass for co-gasification for power generation, the lower heating value of the syngas will have a maximum value when the two are mixed in the right ratio [6]. Combining MSW with coal can also increase the calorific value of the fuel, and adding 25% MSW to a low ash coal can achieve a similar thermal efficiency of the plant as a high ash coal [7]. In addition to incineration, technologies such as anaerobic fermentation and gasification can also replace the original MSW landfill [2].…”

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confidence: 99%

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Analysis and Economic Evaluation of Hourly Operation Strategy Based on MSW Classification and LNG Multi-Generation System

Lu¹,

Shi²,

Li³

2023

Energy Engineering

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In this study, a model of combined cooling, heating and power system with municipal solid waste (MSW) and liquefied natural gas (LNG) as energy sources was proposed and developed based on the energy demand of a large community, and MSW was classified and utilized. The system operated by determining power by heating load, and measures were taken to reduce operating costs by purchasing and selling LNG, natural gas (NG), cooling, heating, and power. Based on this system model, three operation strategies were proposed based on whether MSW was classified and the length of kitchen waste fermentation time, and each strategy was simulated hourly throughout the year. The results showed that the strategy of MSW classified and centralized fermentation of kitchen waste in summer (i.e., strategy 3) required the least total amount of LNG for the whole year, which was 47701.77 t. In terms of total annual cost expenditure, strategy 3 had the best overall economy, with the lowest total annual expenditure of 2.7730 × 108 RMB at LNG and NG unit prices of 4 and 4.2 RMB/kg, respectively. The lower heating value of biogas produced by fermentation of kitchen waste from MSW being classified was higher than that of MSW before being classified, so the average annual thermal economy of the operating strategy of MSW being classified was better than that of MSW not being classified. Among the strategies in which MSW was classified and utilized, strategy 3 could better meet the load demand of users in the corresponding season, and thus this strategy had better thermal economy than the strategy of year-round fermentation of kitchen waste (i.e., strategy 2). The hourly analysis data showed that the net electrical efficiency of the system varies in the same trend as the cooling, heating and power loads in all seasons, while the relationship between the energy utilization efficiency and load varied from season to season. This study can provide guidance for the practical application of MSW being classified in the system. KEYWORDSMunicipal solid waste; liquefied natural gas; energy recovery; combined power; heating and cooling; determining power by heating load; net electrical efficiency; energy utilization efficiency Nomenclature eElemental composition eThe corrected elemental composition M Moisture aThe percentage of kitchen waste bThe percentage of non-combustible A Ash

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“…The average thermoelectric ratio of the system in winter, summer and total for both seasons is calculated by Eqs. ( 5) to (7), respectively.…”

Section: System Operating Strategymentioning

confidence: 99%

mentioning

confidence: 99%

Analysis and Economic Evaluation of Hourly Operation Strategy Based on MSW Classification and LNG Multi-Generation System

Lu¹,

Shi²,

Li³

2023

Energy Engineering

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“…Here, we present a targeted literature analysis concerning the CHP and sustainability analysis modelling using data from the literature and forestbased cooperative. Sahu and Prabu (2021) have simulated a CHP using Aspen Plus (Sahu and Prabu 2021). Their Aspen Plus simulation model comprises a combustor model using RGibbs and high, medium and low-pressure steam turbine models.…”

Section: Introductionmentioning

confidence: 99%

Modelling to analyse the process and sustainability performance of forestry-based bioenergy systems

Martínez-Hernández

Sadhukhan

Aburto

et al. 2022

Clean Techn Environ Policy

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This study develops a novel mathematical modelling framework for biomass combined heat and power systems (CHP) that links biomass and process characteristics to sustainability assessment of the life cycle. A total of twenty-nine indicators for the process (four-indicators), economic (five-indicators), environmental (eight-indicators) and social global (five-indicators) and local (seven-indicators) aspects have been analysed for sustainability. These are technological: biomass throughput, electricity and steam generations and CHP efficiency; economic: internal rate of return, capital, operating and feedstock costs and cost of production; environmental: global warming, fossil, land and water use, acidification, urban smog, eutrophication and ecotoxicity potentials; social (global): labour rights and decent work, health & safety, human rights, governance and community infrastructure; social (local): total forest land, direct/indirect jobs, gender equality and energy-water-sanitation access for communities, from biomass characteristics (carbon and hydrogen contents), energy demands and economic parameters. This paper applies the developed methodology to a case study in Mexico. From 12.47 kt/year forestry residue, 1 MWe is generated with an associated low-pressure steam generation of 50 kt/year, at the cost of production of $0.023/kWh. This makes the energy provision “affordable and clean” for marginalised/poor communities (the UN Sustainable Development Goals, SDG7). Bioenergy can curb > 90% of the greenhouse gas emissions and primary energy use, 6 kt CO2 eq and 74 TJ annually. Bioenergy reduces other environmental impacts considerably, water consumption, acidification and eutrophication by 87–53%, and urban smog and ecotoxicity by 29–18%. Bioenergy can improve all five social themes in the Central American cluster countries. In addition to the SDG7, the forestry-based bioenergy system can also achieve the SDG6: "clean water and sanitation for all". Graphical abstract

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Techno-economic analysis on oxy-fuel based steam turbine power system using municipal solid waste and coals with ultrasonicator sulfur removal

Sahu

Vairakannu

2022

Waste Dispos. Sustain. Energy

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Techno-economic analysis of co-combustion of Indian coals with municipal solid waste in subcritical and supercritical based steam turbine power generating carbon-negative systems

Cited by 12 publications

References 46 publications

Analysis and Economic Evaluation of Hourly Operation Strategy Based on MSW Classification and LNG Multi-Generation System

Analysis and Economic Evaluation of Hourly Operation Strategy Based on MSW Classification and LNG Multi-Generation System

Modelling to analyse the process and sustainability performance of forestry-based bioenergy systems

Techno-economic analysis on oxy-fuel based steam turbine power system using municipal solid waste and coals with ultrasonicator sulfur removal

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