Expert views on low-carbon transition strategies for the Dutch solar sector: A delay-based fuzzy cognitive mapping approach

被引：6

作者：

Nikas, Alexandros ^{[1
]}

Doukas, Haris ^{[1
]}

van der Gaast, Wytze ^{[2
]}

Szendrei, Krisztina ^{[2
]}

机构：

[1] Natl Tech Univ Athens, Sch Elect & Comp Engn, Iroon Politechniou 7, Athens 15780, Greece

[2] JIN Climate & Sustainabil, Groningen, Netherlands

来源：

IFAC PAPERSONLINE | 2018年 / 51卷 / 30期

基金：

欧盟地平线“2020”;

关键词：

decision support systems; solar energy; transition; Netherlands; fuzzy cognitive maps; policy; MAPS; NETHERLANDS; KNOWLEDGE;

D O I：

10.1016/j.ifacol.2018.11.208

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Despite recent growth in respective investments, the Netherlands is not expected to achieve its near-term renewable energy targets, indicating that policy design tends to overlook specific uncertainties and implementation risks. In the aim of supporting policymaking towards a low-carbon transition of the Dutch power sector with a focus on solar power, this study employs a stakeholder-driven approach based on fuzzy cognitive maps, while considering the notion of time. Results appear to strongly depend on expectations of future socioeconomic developments and show that stakeholders favour soft measures over financial incentives. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：715 / 720

页数：6

共 2 条

[1] Circular bio-economy via energy transition supported by Fuzzy Cognitive Map modeling towards sustainable low-carbon environment
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Karayannis, Vayos
Moustakas, Konstantinos
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 721
[2] Long-term multi-sector low-carbon transition pathway planning based on modified-grandfathering emission allocation method: A case study of China
Li, Chenxi
Tian, Guang
Yang, Yang
Liu, Pei
Li, Zheng
JOURNAL OF CLEANER PRODUCTION, 2023, 415

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