Globalization, sustainable development, and variation in cost of power plant technologies: A perspective of developing economies.
Cost of power plants
Global Change Assessment Model (GCAM)
Integrated assessment model
Technology cost electricity sector modeling
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
Mar 2021
Mar 2021
Historique:
received:
09
04
2020
accepted:
10
09
2020
pubmed:
29
10
2020
medline:
20
2
2021
entrez:
28
10
2020
Statut:
ppublish
Résumé
This study evaluates the sustainable power plant cost in the outlook of global power plant efficiency to reduce fossil fuel dependency and greenhouse gas emissions. For this purpose, the Global Change Assessment Model (GCAM) applied for conducting the cost assessment of power zone technologies for all principal electricity generation. This study considers the characteristics of essential factors (cement, price of resources, possible increases in employees, and metals) that affect costs. This study suggests that the cost of electricity-generating technologies significantly affects growth efficiency, reduction in production cost, and improving environmental conditions. It also suggests that the cost of electricity-generating technologies, combined with technology mixture, is the key factor behind replacing existing technology in the electricity sector. EPRI cost assessments expanded by around 30% and 50% during 2015-2016. Factors like competition amongst power plant owners, the ambiguous marketplace, production procedures, and lack of environment-related strategies have resulted in massive environmental degradation in developing economies like Pakistan. Based on empirical findings, this study recommends designing efficient technologies, which would reduce power plant costs and ensure vertical prospects related to environmental conditions in the future.
Identifiants
pubmed: 33113061
doi: 10.1007/s11356-020-10816-x
pii: 10.1007/s11356-020-10816-x
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
11158-11169Références
Anna M, Bobba S, Ardente F et al (2019) Energy and environmental assessment of a traction lithium-ion battery pack for plug-in hybrid electric vehicles. J Clean Prod 215:634–649. https://doi.org/10.1016/j.jclepro.2019.01.056
doi: 10.1016/j.jclepro.2019.01.056
Anser MK, Mohsin M, Abbas Q, Chaudhry IS (2020) Assessing the integration of solar power projects: SWOT-based AHP–F-TOPSIS case study of Turkey. Environ Sci Pollut Res. 27:31737–31749. https://doi.org/10.1007/s11356-020-09092-6
doi: 10.1007/s11356-020-09092-6
Arabzadeh V, Pilpola S, Lund PD (2019) Coupling variable renewable electricity production to the heating sector through curtailment and power-to-heat strategies for accelerated emission reduction. Futur Cities Environ. 5. https://doi.org/10.5334/fce.58
Asbahi AAMHA, Gang FZ, Iqbal W et al (2019) Novel approach of principal component analysis method to assess the national energy performance via Energy Trilemma Index. Energy Reports. 5:704–713. https://doi.org/10.1016/j.egyr.2019.06.009
doi: 10.1016/j.egyr.2019.06.009
Baloch ZA, Tan Q, Iqbal N, Mohsin M, Abbas Q, Iqbal W, Chaudhry IS (2020) Trilemma assessment of energy intensity, efficiency, and environmental index: evidence from BRICS countries. Environ Sci Pollut Res. 27:34337–34347. https://doi.org/10.1007/s11356-020-09578-3
doi: 10.1007/s11356-020-09578-3
Davis RC, Noon SW, Harrington J (2007) The petroleum potential of Tertiary coals from Western Indonesia: relationship to mire type and sequence stratigraphic setting. Int J Coal Geol. 70:35–52. https://doi.org/10.1016/j.coal.2006.02.008
doi: 10.1016/j.coal.2006.02.008
Facchini F, Seghezza E (2018) Public spending structure, minimal state and economic growth in France (1870–2010). Econ Model 72:151–164. https://doi.org/10.1016/j.econmod.2018.01.014
doi: 10.1016/j.econmod.2018.01.014
Fang M, Tan KS, Wirjanto TS (2019) Sustainable portfolio management under climate change. J Sustain Financ Invest 9:45–67. https://doi.org/10.1080/20430795.2018.1522583
doi: 10.1080/20430795.2018.1522583
Fankhauser S, Hepburn C, Park J (2010) Combining multiple climate policy instruments: how not to do it. Clim Chang Econ 1:209–225. https://doi.org/10.1142/S2010007810000169
doi: 10.1142/S2010007810000169
Feldman R, Tomback DF, Koehler J (1999) Cost of mutualism: competition, tree morphology, and pollen production in limber pine clusters. Ecology 80:324–329. https://doi.org/10.1890/0012-9658(1999)080[0324:COMCTM]2.0.CO;2
doi: 10.1890/0012-9658(1999)080[0324:COMCTM]2.0.CO;2
Gentil E, Christensen TH, Aoustin E (2009) Greenhouse gas accounting and waste management. Waste Manag Res
Gewin V (2002) Ecosystem health: the state of the planet. Nature 417:112–113. https://doi.org/10.1038/417112a
doi: 10.1038/417112a
Ghamari-Tabrizi S (2000) Simulating the unthinkable: gaming future war in the 1950s and 1960s. Soc Stud Sci 30:163–223. https://doi.org/10.1177/030631200030002001
doi: 10.1177/030631200030002001
Gómez D, Figueira JR, Eusébio A (2013) Modeling centrality measures in social network analysis using bi-criteria network flow optimization problems. Eur J Oper Res 226:354–365. https://doi.org/10.1016/j.ejor.2012.11.027
doi: 10.1016/j.ejor.2012.11.027
Hailey AK, Meerman JC, Larson ED, Loo YL (2016) Low-carbon “drop-in replacement” transportation fuels from non-food biomass and natural gas. Appl Energy 183:1722–1730. https://doi.org/10.1016/j.apenergy.2016.09.068
doi: 10.1016/j.apenergy.2016.09.068
Husebye J, Brunsvold AL, Roussanaly S, Zhang X (2012) Techno economic evaluation of amine based CO2 capture: impact of CO2 concentration and steam supply. Energy Proc
Iqbal W, Yumei H, Abbas Q, Hafeez M, Mohsin M, Fatima A, Jamali M, Jamali M, Siyal A, Sohail N (2019) Assessment of wind energy potential for the production of renewable hydrogen in Sindh Province of Pakistan. Processes 7. https://doi.org/10.3390/pr7040196
Iram R, Zhang J, Erdogan S, Abbas Q, Mohsin M (2019) Economics of energy and environmental efficiency: evidence from OECD countries. Environ Sci Pollut Res 27:3858–3870. https://doi.org/10.1007/s11356-019-07020-x
doi: 10.1007/s11356-019-07020-x
Kalkuhl M, Edenhofer O, Lessmann K (2013) Renewable energy subsidies: second-best policy or fatal aberration for mitigation? Resour Energy Econ 35:217–234. https://doi.org/10.1016/j.reseneeco.2013.01.002
doi: 10.1016/j.reseneeco.2013.01.002
Kung CC, Zhang N, Choi Y et al (2019) Corrigendum to “Effectiveness of crop residuals in ethanol and pyrolysis-based electricity production: a stochastic analysis under uncertain climate impacts”. Energy Policy 125:267–276. https://doi.org/10.1016/j.enpol.2018.10.016 Energy Policy 129:1423
doi: 10.1016/j.enpol.2018.10.016
Lambert B, Declerck CH, Emonds G, Boone C (2017) Trust as commodity: social value orientation affects the neural substrates of learning to cooperate. Soc Cogn Affect Neurosci. 12:609–617. https://doi.org/10.1093/scan/nsw170
doi: 10.1093/scan/nsw170
Mohsin M, Nurunnabi M, Zhang J, Sun H, Iqbal N, Iram R, Abbas Q (2020a) The evaluation of efficiency and value addition of IFRS endorsement towards earnings timeliness disclosure. Int J Financ Econ. https://doi.org/10.1002/ijfe.1878
Mohsin M, Rasheed AK, Saidur R (2018a) Economic viability and production capacity of wind generated renewable hydrogen. Int. J. Hydrogen Energy 43:2621–2630
doi: 10.1016/j.ijhydene.2017.12.113
Mohsin M, Rasheed AK, Sun H, Zhang J, Iram R, Iqbal N, Abbas Q (2019a) Developing low carbon economies: an aggregated composite index based on carbon emissions. Sustain Energy Technol Assess 35:365–374. https://doi.org/10.1016/j.seta.2019.08.003
doi: 10.1016/j.seta.2019.08.003
Mohsin M, Taghizadeh-Hesary F, Panthamit N, Anwar S, Abbas Q, Vo XV (2020b) Developing low carbon finance index: evidence from developed and developing economies. Financ Res Lett. https://doi.org/10.1016/j.frl.2020.101520
Mohsin M, Zhang J, Saidur R, Sun H, Sait SM (2019b) Economic assessment and ranking of wind power potential using fuzzy-TOPSIS approach. Environ Sci Pollut Res. 26:22494–22511. https://doi.org/10.1007/s11356-019-05564-6
doi: 10.1007/s11356-019-05564-6
Mohsin M, Zhou P, Iqbal N, Shah SAA (2018b) Assessing oil supply security of South Asia. Energy 155:438–447. https://doi.org/10.1016/j.energy.2018.04.116
doi: 10.1016/j.energy.2018.04.116
Panepinto D, Genon G (2012) Carbon dioxide balance and cost analysis for different solid waste management scenarios. Waste Biomass Valorization 3:249–257. https://doi.org/10.1007/s12649-012-9120-z
doi: 10.1007/s12649-012-9120-z
Panepinto D, Genon G, Brizio E, Russolillo D (2013) Production of green energy from co-digestion: perspectives for the Province of Cuneo, energetic balance and environmental sustainability. Clean Technol Environ Policy 15:1055–1062. https://doi.org/10.1007/s10098-012-0568-0
doi: 10.1007/s10098-012-0568-0
Panepinto D, Senor A, Genon G (2016) Energy recovery from waste incineration: economic aspects. Clean Technol Environ Policy. 18:517–527. https://doi.org/10.1007/s10098-015-1033-7
doi: 10.1007/s10098-015-1033-7
Panepinto D, Viggiano F, Genon G (2015) Analysis of the environmental impact of a biomass plant for the production of bioenergy. Renew Sustain Energy Rev
Prigogine I (1978) Time, structure, and fluctuations. Science (80-). https://doi.org/10.1126/science.201.4358.777
Rubin ES, Yeh S, Antes M, Berkenpas M, Davison J (2007) Use of experience curves to estimate the future cost of power plants with CO2 capture. Int J Greenh Gas Control 1:188–197. https://doi.org/10.1016/S1750-5836(07)00016-3
doi: 10.1016/S1750-5836(07)00016-3
Sahlman WA (1990) The structure and governance of venture-capital organizations. J financ econ. 27:473–521. https://doi.org/10.1016/0304-405X(90)90065-8
doi: 10.1016/0304-405X(90)90065-8
Stanton T (2012) Are smart microgrids in your future ? exploring challenges and opportunities for state public utility regulators. Natl Regul Res Inst
Stevanovic PD, Petrova G, Miljkovic B, Scepanovic R, Perunovic R, Stojanovic D, Dobrasinovic J (2008) Low fresh gas flow balanced anesthesia versus target controlled intravenous infusion anesthesia in laparoscopic cholecystectomy: a cost-minimization analysis. Clin Ther. 30:1714–1725. https://doi.org/10.1016/j.clinthera.2008.09.009
doi: 10.1016/j.clinthera.2008.09.009
Sun L, Cao X, Alharthi M, Zhang J, Taghizadeh-Hesary F, Mohsin M (2020a) Carbon emission transfer strategies in supply chain with lag time of emission reduction technologies and low-carbon preference of consumers. J Clean Prod. 264:121664. https://doi.org/10.1016/j.jclepro.2020.121664
doi: 10.1016/j.jclepro.2020.121664
Sun H, Mohsin M, Alharthi M, Abbas Q (2020b) Measuring environmental sustainability performance of South Asia. J Clean Prod 251:119519. https://doi.org/10.1016/j.jclepro.2019.119519
doi: 10.1016/j.jclepro.2019.119519
Sun H, Pofoura AK, Adjei Mensah I, Li L, Mohsin M (2020c) The role of environmental entrepreneurship for sustainable development: evidence from 35 countries in sub-Saharan Africa. Sci Total Environ. 741:140132. https://doi.org/10.1016/j.scitotenv.2020.140132
doi: 10.1016/j.scitotenv.2020.140132
Sun L, Qin L, Taghizadeh-Hesary F, Zhang J, Mohsin M, Chaudhry IS (2020d) Analyzing carbon emission transfer network structure among provinces in China: new evidence from social network analysis. Environ Sci Pollut Res. 27:23281–23300. https://doi.org/10.1007/s11356-020-08911-0
doi: 10.1007/s11356-020-08911-0
Sun H-P, Tariq G, Haris M, Mohsin M (2019) Evaluating the environmental effects of economic openness: evidence from SAARC countries. Environ Sci Pollut Res. 26:24542–24551. https://doi.org/10.1007/s11356-019-05750-6
doi: 10.1007/s11356-019-05750-6
van der Meijden G, Withagen C (2019) Limit pricing, climate policies, and imperfect substitution. Resour Energy Econ 58:101118. https://doi.org/10.1016/j.reseneeco.2019.101118
doi: 10.1016/j.reseneeco.2019.101118
Van Tassel D (1978) Program style, design, efficiency, debugging, and testing
Wang Z, Li Y, Cai H, Yang Y, Wang B (2019a) Regional difference and drivers in China’s carbon emissions embodied in internal trade. Energy Econ 83:217–228. https://doi.org/10.1016/j.eneco.2019.06.023
doi: 10.1016/j.eneco.2019.06.023
Wang Y, Liu L, Guo S, Yue Q, Guo P (2019b) A bi-level multi-objective linear fractional programming for water consumption structure optimization based on water shortage risk. J Clean Prod 237. https://doi.org/10.1016/j.jclepro.2019.117829
Wang D, Wang Y, Song X, Liu Y (2018) Coal overcapacity in China: multiscale analysis and prediction. Energy Econ 70:244–257. https://doi.org/10.1016/j.eneco.2018.01.004
doi: 10.1016/j.eneco.2018.01.004
Weber M (2011) Customer co-creation in innovations: a protocol for innovating with end users
Weißbach D, Ruprecht G, Huke A, Czerski K, Gottlieb S, Hussein A (2013) Energy intensities, EROIs (energy returned on invested), and energy payback times of electricity generating power plants. Energy. 52:210–221. https://doi.org/10.1016/j.energy.2013.01.029
doi: 10.1016/j.energy.2013.01.029
Whitman RB (1909) A handy testing chart. Sci Am. 68:23. https://doi.org/10.1038/scientificamerican07101909-23supp
doi: 10.1038/scientificamerican07101909-23supp
Wiser R, Pickle S (1997) Financing investments in renewable energy : the role of policy design and restructuring. Energy Anal Environ Impact Dep LBNL-39826 UC-1321
Wu G, Zhang YJ (2014) Does China factor matter? An econometric analysis of international crude oil prices. Energy Policy 72:78–86. https://doi.org/10.1016/j.enpol.2014.04.026
doi: 10.1016/j.enpol.2014.04.026
Wullink G, Van Houdenhoven M, Hans EW et al (2007) Closing emergency operating rooms improves efficiency. J Med Syst 31:543–546. https://doi.org/10.1007/s10916-007-9096-6
doi: 10.1007/s10916-007-9096-6