東華大學圖書館 |

Opportunities and Limitations of Multi-Objective Optimization in Renewable Energy Planning = = Chancen und Grenzen Einer Mehrzieloptimierung bei der Standortsuche fur Erneuerbare Energietrager de /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Opportunities and Limitations of Multi-Objective Optimization in Renewable Energy Planning =/ Jessica Christina Weber.
其他題名:	Chancen und Grenzen Einer Mehrzieloptimierung bei der Standortsuche fur Erneuerbare Energietrager de /
作者:	Weber, Jessica Christina,
面頁冊數:	1 electronic resource (226 pages)
附註:	Source: Dissertations Abstracts International, Volume: 86-04, Section: B.
Contained By:	Dissertations Abstracts International86-04B.
標題:	Software. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31609050
ISBN:	9798342148900

Opportunities and Limitations of Multi-Objective Optimization in Renewable Energy Planning = = Chancen und Grenzen Einer Mehrzieloptimierung bei der Standortsuche fur Erneuerbare Energietrager de /
Weber, Jessica Christina,

Opportunities and Limitations of Multi-Objective Optimization in Renewable Energy Planning =Chancen und Grenzen Einer Mehrzieloptimierung bei der Standortsuche fur Erneuerbare Energietrager de /Jessica Christina Weber. - 1 electronic resource (226 pages)

Source: Dissertations Abstracts International, Volume: 86-04, Section: B.

The pursuit of renewable energy development presents a complex challenge: balancing suitable sites for meeting wind energy and (ground-mounted) photovoltaic (PV) targets. Limited space and competing land use demands need to be addressed when renewable energy is already advanced. To make informed decisions about the sustainable and equitable use of land resources, spatial planning becomes instrumental. However, balancing different land use interests and goals often requires difficult trade-offs decisions, such as between wildlife, settlement protection, agricultural and forest use. Trade-offs arise when pursuing multiple goals necessitates compromising one goal to enhance another. It emphasizes the importance of a responsible energy transition that ensures environmental, economic and social well-being, aligning with the Sustainable Development Goals (SDGs).This thesis explores the research gap of evaluating the opportunities and limitations of decision support, specifically Multi Criteria (Decision) Analysis (MC(D)A), in facilitating trade-off negotiation within an agreed-upon energy pathway when using 'positive planning' for renewable energy development. Positive planning involves considering top-down tiered energy targets across national, regional and local planning levels. The aim is to empower (bottom-up) regional and local decision-makers with the necessary information for informed decision-making, reducing planning anxiety related to trade-off weighing and space allocation.Using a cumulative approach through four scientific publications, an interpretivist research philosophy was taken within a qualitative research design. The focus is on German and Swedish cases, which were renowned for their contributions to renewable energy development. The emphasis was placed on a practical evaluation of optimizing multiple objectives, alongside the planning implications from exemplary MCDA practices, such as with PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluation) with GAIA-plane (Geometrical Analysis for Interactive Aid), scenario-MCA and PAPRIKA (Potentially All Pairwise RanKings of all possible Alternatives). A two-part qualitative stakeholder survey allowed to explore stakeholders' willingness to compromise on siting trade-offs.The research findings illustrate that decision support can serve as a bridge between top-down and bottom-up planning approaches, but it is crucial to determine its role and avoid simplistic expectations of 'cure-all' solutions. MC(D)A has proven valuable in quantifying spatial trade-offs between species and renewable energy, revealing a 'multiple green dilemma' beyond the classic 'wind energy-wildlife' conflict, allowing for an understanding of planning impacts. It facilitates the exchange of values regarding siting alternatives and lends legitimacy to planning decisions. In evaluating past planning processes, MCDA identified 'winners' and 'losers' of decision-making, allowing for identifying compensation, and discerning political incentives that influence planning decisions. Attitudes towards planning practice varied, with some seeing it as implementing political judgment and other as a democratic compromise. While a majority of surveyed stakeholders were willing to compromise for a democratic energy transition, about 35% were hesitant to change their view on nature and landscape concerns.These findings highlight the delicate balance between political intervention and democratic negotiation in planning, which requires further attention. While decision support is valuable for transparent trade-off assessment under strengthened energy pathways (positive planning), in this case, it met boundaries for reaching unified compromise.

English

ISBN: 9798342148900Subjects--Topical Terms:

619355
Software.

Opportunities and Limitations of Multi-Objective Optimization in Renewable Energy Planning = = Chancen und Grenzen Einer Mehrzieloptimierung bei der Standortsuche fur Erneuerbare Energietrager de /
LDR:09514nmm a22004093i 4500 001 2434482
005 20250912102026.5
006 m o d
007 cr|nu||||||||
008 261011s2024 miu||||||m |||||||eng d
020 $a 9798342148900
035 $a (MiAaPQD)AAI31609050
035 $a (MiAaPQD)TechBerlin_20241130322178
035 $a AAI31609050
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Weber, Jessica Christina, $e author. $3 3824478
245 1 0 $a Opportunities and Limitations of Multi-Objective Optimization in Renewable Energy Planning = $b Chancen und Grenzen Einer Mehrzieloptimierung bei der Standortsuche fur Erneuerbare Energietrager de / $c Jessica Christina Weber.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (226 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 86-04, Section: B.
500 $a Advisors: Koppel, Johann.
502 $b Ph.D. $c Technische Universitaet Berlin (Germany) $d 2024.
520 $a The pursuit of renewable energy development presents a complex challenge: balancing suitable sites for meeting wind energy and (ground-mounted) photovoltaic (PV) targets. Limited space and competing land use demands need to be addressed when renewable energy is already advanced. To make informed decisions about the sustainable and equitable use of land resources, spatial planning becomes instrumental. However, balancing different land use interests and goals often requires difficult trade-offs decisions, such as between wildlife, settlement protection, agricultural and forest use. Trade-offs arise when pursuing multiple goals necessitates compromising one goal to enhance another. It emphasizes the importance of a responsible energy transition that ensures environmental, economic and social well-being, aligning with the Sustainable Development Goals (SDGs).This thesis explores the research gap of evaluating the opportunities and limitations of decision support, specifically Multi Criteria (Decision) Analysis (MC(D)A), in facilitating trade-off negotiation within an agreed-upon energy pathway when using 'positive planning' for renewable energy development. Positive planning involves considering top-down tiered energy targets across national, regional and local planning levels. The aim is to empower (bottom-up) regional and local decision-makers with the necessary information for informed decision-making, reducing planning anxiety related to trade-off weighing and space allocation.Using a cumulative approach through four scientific publications, an interpretivist research philosophy was taken within a qualitative research design. The focus is on German and Swedish cases, which were renowned for their contributions to renewable energy development. The emphasis was placed on a practical evaluation of optimizing multiple objectives, alongside the planning implications from exemplary MCDA practices, such as with PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluation) with GAIA-plane (Geometrical Analysis for Interactive Aid), scenario-MCA and PAPRIKA (Potentially All Pairwise RanKings of all possible Alternatives). A two-part qualitative stakeholder survey allowed to explore stakeholders' willingness to compromise on siting trade-offs.The research findings illustrate that decision support can serve as a bridge between top-down and bottom-up planning approaches, but it is crucial to determine its role and avoid simplistic expectations of 'cure-all' solutions. MC(D)A has proven valuable in quantifying spatial trade-offs between species and renewable energy, revealing a 'multiple green dilemma' beyond the classic 'wind energy-wildlife' conflict, allowing for an understanding of planning impacts. It facilitates the exchange of values regarding siting alternatives and lends legitimacy to planning decisions. In evaluating past planning processes, MCDA identified 'winners' and 'losers' of decision-making, allowing for identifying compensation, and discerning political incentives that influence planning decisions. Attitudes towards planning practice varied, with some seeing it as implementing political judgment and other as a democratic compromise. While a majority of surveyed stakeholders were willing to compromise for a democratic energy transition, about 35% were hesitant to change their view on nature and landscape concerns.These findings highlight the delicate balance between political intervention and democratic negotiation in planning, which requires further attention. While decision support is valuable for transparent trade-off assessment under strengthened energy pathways (positive planning), in this case, it met boundaries for reaching unified compromise.
520 $a Der Ausbau der Erneuerbaren Energien ist eine komplexe Aufgabe: Die Suche nach geeigneten Standorten für Windenergie und (Freiflachen-)Photovoltaik (PV) ist eine unabdingbare Voraussetzung. Mit fortschreitendem Ausbau ergeben sich jedoch Herausforderungen durch begrenzte Flachen und konkurrierende raumliche Nutzungsansprüche. Um eine nachhaltige und gerechte Flachennutzung zu ge- wahrleisten, spielt die Raumplanung eine zentrale Rolle. Der Umgang mit unterschiedlichen Interessen und Zielen erfordert jedoch oft schwierige Planungsentscheidungen, z.B. zwischen Naturschutz, Siedlungsschutz und landwirtschaftlicher Nutzung. Trade-offs entstehen, wenn mehrere Ziele verfolgt werden und eines oder mehrere zugunsten eines anderen zurückgestellt werden müssen. Es bedarf einer verantwortungsvollen Energiewende, die okologisches, okonomisches und soziales Wohlergehen sichert und sich an den nachhaltigen Entwicklungszielen der Vereinten Nationen (Sustainable Development Goals, SDGs) orientiert.In dieser Dissertation wird die Forschungslücke hinsichtlich der Chancen und Herausforderungen von Entscheidungsunterstützungsinstrumenten, insbesondere der multi-kriteriellen Entscheidungsanalyse MC(D)A), untersucht, um Zielkonflikte innerhalb eines vorgegebenen Ausbaupfades im Rahmen der "Positivplanung" zu bewaltigen. Positivplanungen berücksichtigen abgestufte Energieziele auf nationaler, regionaler und lokaler Ebene. Ziel ist es, regionale und lokale Entscheidungstrager in die Lage zu versetzen, fundierte Entscheidungen zu treffen und Planungsunsicherheiten bei der Abwagung von Trade-offsund der Flachenausweisung für Windenergie und Freiflachen-PV zu vermeiden.Anhand eines kumulativen Forschungsansatzes mit vier wissenschaftlichen Publikationen wurde eine interpretative Forschungsphilosophie in einem qualitativen Forschungsdesign verfolgt. Der Fokus lag auf deutschen und schwedischen Fallstudien, die durch ihre Pionierrolle als beispielhaft im Handlungsfeld der Energiewende gelten. Die praktische Bewertung von Mehrzieloptimierungen und die planerischen Auswirkungen exemplarischer MCDA-Praktiken standen im Vordergrund der Dissertation, wie PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluation) zusammen mit GAIA-plane (Geometrical Analysis for Interactive Aid), Scenario-MCA und PAPRIKA (Potentially All Pairwise Rankings of all possible Alternatives). Um die Kompromissbereitschaft der Stakeholder bei Standortentscheidungen rückzukoppeln, wurde eine zweistufige qualitative Stakeholder-Befragung durchgeführt.Die Forschungsergebnisse zeigen, dass Entscheidungsunterstützung eine Brücke zwischen Top-Down und Bottom-Up-Planungsansatzen schlagen kann. Es ist jedoch wichtig, ihre Rolle zu definieren und unrealistische Erwartungen an ein "Allheilmittel" zu vermeiden. MC(D)A hat sich als wertvoll erwiesen, um raumliche Trade-offs zwischen Artenschutz und erneuerbaren Energien zu quantifizieren und ein "vielfaches grünes Dilemma" (engl., multiple green dilemma) jenseits des klassischen "Windenergie-Artenschutz"-Konflikts aufzudecken. Es ermoglicht, die Auswirkungen der Planung zu erkennen und einen Werteaustausch über Standortalternativen zu führen. Dadurch kann die Legitimitat von Planungsentscheidungen erhoht werden. MCDA half auch dabei, "Gewinner" und "Verlierer" von Entscheidungsfindungsprozessen zu identifizieren und mogliche Kompensationen sowie politische Anreize zu differenzieren, die Planungsentscheidungen beeinflussen. Die praktische Durchführung von MCDA wurde unterschiedlich bewertet. Wahrend Entscheidungen über Flachen für Windenergie und Freiflachen-PV von einigen Stakeholdern als politische Entscheidungen angesehen wurden, bewerteten andere diese als demokratischen Kompromiss. Obwohl die Mehrheit der Stakeholder bereit war, für eine demokratische Energiewende Kompromisse einzugehen, zogerten etwa 35 % damit, ihre Ansichten zu Natur- und Landschaftsbelangen zu andern.Diese Ergebnisse verdeutlichen die Herausforderung, ein sensibles Gleichgewicht zwischen politischer Intervention und demokratischer Aushandlung bei der Planung Erneuerbarer Energietrager zu finden. Transparent bewertete Trade-offsinnerhalb erweiterter Ausbaupfade für Windenergie und PV konnen hilfreich sein, um Entscheidungen zu unterstützen.
546 $a English
590 $a School code: 1119
650 4 $a Software. $2 gtt. $3 619355
650 4 $a Citations. $3 3564655
650 4 $a Wind power. $3 672558
650 4 $a Alternative energy. $3 3436775
650 4 $a Planning. $3 552734
650 4 $a Sustainability. $3 1029978
650 4 $a Biodiversity. $3 627066
650 4 $a Energy transition. $3 3505545
650 4 $a Birds. $3 516253
650 4 $a Open access. $3 3817011
650 4 $a Atmospheric sciences. $3 3168354
650 4 $a Conservation biology. $3 535736
690 $a 0363
690 $a 0640
690 $a 0725
690 $a 0408
710 2 $a Technische Universitaet Berlin (Germany). $e degree granting institution. $3 3819406
720 1 $a Koppel, Johann $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 86-04B.
790 $a 1119
791 $a Ph.D.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31609050