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Enregistrement W2795310188 · doi:10.1049/pbpo130e_ch4

Financing for community wind and solar project development

2018· book-chapter· en· W2795310188 sur OpenAlexaff
Lindsay Miller, Rupp Carriveau

Notice bibliographique

RevueInstitution of Engineering and Technology eBooks · 2018
Typebook-chapter
Langueen
DomaineSocial Sciences
ThématiqueSocial Acceptance of Renewable Energy
Établissements canadiensUniversity of Windsor
Organismes subventionnairesnon disponible
Mots-clésRenewable energyWind powerLeaseBusinessEnvironmental economicsFinanceCapital costInvestment (military)Natural resource economicsEconomicsEngineeringPolitical science

Résumé

récupéré en direct d'OpenAlex

Community energy, and in particular, community wind and solar, has experienced significant growth in recent years. The main challenge to further expansion and implementation of community renewable energy projects is the high capital costs associated with project development. This chapter will present case studies of community wind and solar financing and include innovative mechanisms such as lease financing, sales of renewable energy credits, crowdfunding, and unconventional loan strategies. Through compilation of these cases, the objective is to provide prospective small renewable energy developers options as to how they can go about financing their projects and ultimately empower communities to independently produce energy while reducing greenhouse gases. Community energy, in particular, community wind and solar, has experienced significant growth in recent years. Driving this trend is the desire for communities to become energy self-sufficient and more environmentally conscious. Benefits of community wind and solar extend to include increasing community capacity, empowering residents, and promoting energy efficiency and conservation. The main challenge for further expansion and implementation of community renewable energy projects is the high capital costs associated with project development. With initial costs representing approximately 70 percent of the life cycle costs of the project [1], it can take several years to recoup this investment and can impede the ability of local developers to raise enough capital. Small utility-scale wind power projects have provided proving grounds for new technology and innovative financing structures. Historically, financing of community wind projects has generated innovative structures that were later adopted by the broader wind market and are now popular mainstream financing structures, such as the special allocation partnership flip structure [2]. More recently, community wind projects have been financed with creative structures that capitalize on incentives and make use of public market capital. Community solar is a popular community energy choice due to the scalability of projects. Small communities and neighbourhoods can pursue solar energy more easily by selecting the number of panels required to suit their needs. Community solar has relied on three main financing structures: utility-sponsored, special-purpose entity, and non-profit, to implement projects of various scales and make use of available incentives. Despite many community wind and solar projects achieving financing success, there are challenges in replicating the elements of some of these deals. Some of the cases only work in the exact circumstance presented due to specific incentive availability or legalities in different areas. Also, since these proposed structures are new to the industry, transaction costs may be high due to the learning process of executing these deals and development of the financing package could be lengthy for the same reason. This chapter will present case studies of community wind and solar financing and include innovative mechanisms such as lease financing, sales of renewable energy credits, crowdfunding, and unconventional loan strategies. Through compilation of these cases, the objective is to provide prospective small renewable energy developers options as to how they can go about financing their projects and ultimately empower communities to independently produce energy while reducing greenhouse gases. These examples serve as encouraging case studies for other community projects looking for ways to raise capital and make use of programmes and incentives to piece together a financial package. Furthermore, the cases presented have the potential to extend beyond community projects to commercially renewable energy project finance.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,009
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,046
Score d'incertitude au seuil0,155

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,009
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,001
Communication savante0,0030,002
Science ouverte0,0010,004
Intégrité de la recherche0,0020,001
Charge utile insuffisante (le modèle a refusé de juger)0,0460,005

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,025
Tête enseignante GPT0,254
Écart entre enseignants0,229 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2018
Routes d'admission1
Résumé présentoui

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