PMID- 31520388
OWN - NLM
STAT- MEDLINE
DCOM- 20200130
LR  - 20200130
IS  - 1614-7499 (Electronic)
IS  - 0944-1344 (Linking)
VI  - 26
IP  - 32
DP  - 2019 Nov
TI  - Evaluating renewable energy sources for implementing the hydrogen economy in 
      Pakistan: a two-stage fuzzy MCDM approach.
PG  - 33202-33215
LID - 10.1007/s11356-019-06431-0 [doi]
AB  - Hydrogen can play a crucial role in increasing energy security and reducing 
      greenhouse gases in Pakistan. Hydrogen can only be a clean and sustainable fuel 
      if it is generated from renewable energy sources (RES). Thus, it is important to 
      evaluate viability of RES for hydrogen production. This study developed a 
      two-stage fuzzy MCDM (Multi-criteria decision-making) approach to select the most 
      efficient RES. In the first stage, fuzzy analytical hierarchy process (AHP) 
      obtained the relative weights of four criteria for the selection of best RES. 
      These criteria included commercial potential, environmental impacts, economic 
      benefits, and social acceptance. In the second stage, data envelopment analysis 
      (DEA) measured the relative efficiency of RES using weights of criteria as 
      outputs, and the cost of RES-based electricity generation as input. The results 
      indicated that wind and solar are the most efficient sources of hydrogen 
      production in Pakistan. Municipal solid waste (MSW) and biomass can also be 
      considered a feedstock for the hydrogen economy. Geothermal reported to be the 
      less efficient source and thus is not recommended at present. Sensitivity 
      analysis confirmed the robustness of results obtained using the developed 
      framework.
FAU - Xu, Li
AU  - Xu L
AD  - College of Finance, Jiangsu Vocational Institute of Commerce, Nanjing, 211168, 
      Jiangsu, China.
AD  - College of Economics and Management, Nanjing University of Aeronautics and 
      Astronautics, 29 Jiangsu Avenue, Nanjing, 211106, China.
FAU - Shah, Syed Ahsan Ali
AU  - Shah SAA
AUID- ORCID: 0000-0001-8488-3047
AD  - College of Economics and Management, Nanjing University of Aeronautics and 
      Astronautics, 29 Jiangsu Avenue, Nanjing, 211106, China. ahsan.shah1@hotmail.com.
FAU - Zameer, Hashim
AU  - Zameer H
AD  - College of Economics and Management, Nanjing University of Aeronautics and 
      Astronautics, 29 Jiangsu Avenue, Nanjing, 211106, China.
FAU - Solangi, Yasir Ahmed
AU  - Solangi YA
AD  - College of Economics and Management, Nanjing University of Aeronautics and 
      Astronautics, 29 Jiangsu Avenue, Nanjing, 211106, China.
LA  - eng
GR  - 71873064/National Natural Science Foundation of China/
PT  - Journal Article
DEP - 20190913
PL  - Germany
TA  - Environ Sci Pollut Res Int
JT  - Environmental science and pollution research international
JID - 9441769
RN  - 0 (Solid Waste)
RN  - 7YNJ3PO35Z (Hydrogen)
SB  - IM
MH  - Decision Making
MH  - Electricity
MH  - Environment
MH  - *Hydrogen
MH  - Pakistan
MH  - *Renewable Energy
MH  - Solid Waste
MH  - Wind
OTO - NOTNLM
OT  - Efficiency analysis
OT  - Green hydrogen
OT  - Multi-criteria decision-making
OT  - Pakistan
OT  - Sustainable energy
EDAT- 2019/09/15 06:00
MHDA- 2020/01/31 06:00
CRDT- 2019/09/15 06:00
PHST- 2019/06/18 00:00 [received]
PHST- 2019/09/04 00:00 [accepted]
PHST- 2019/09/15 06:00 [pubmed]
PHST- 2020/01/31 06:00 [medline]
PHST- 2019/09/15 06:00 [entrez]
AID - 10.1007/s11356-019-06431-0 [pii]
AID - 10.1007/s11356-019-06431-0 [doi]
PST - ppublish
SO  - Environ Sci Pollut Res Int. 2019 Nov;26(32):33202-33215. doi: 
      10.1007/s11356-019-06431-0. Epub 2019 Sep 13.