Scientific Paper
Grid Tariffs and Energy Communities: Trade-Offs Between Users Benefits, Network Loading, and Cost Recovery for Distribution System Operators
Rigo-Mariani et al. · 2026-09-11
What it covers
A large-scale analysis of more than 500 energy-community configurations evaluates how management models and grid tariffs affect user benefits, network loading, and distribution-system cost recovery.
Who it helps
Intended audience has not been documented.
Limitations
Source-specific limitations have not been reviewed. Inclusion and topic labels do not establish effectiveness or reliability.
Show citation
Rigo-Mariani et al.. 2026-09-11. Grid Tariffs and Energy Communities: Trade-Offs Between Users Benefits, Network Loading, and Cost Recovery for Distribution System Operators. https://www.sciencedirect.com/science/article/pii/S0306261926014972?via%3Dihub (AI & Environment Resource Hub; record atlas-2540745f5836; collection snapshot 2026-10-04).
Classification and context
Included in the original Scientific Paper collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.
Definitions, inclusion guidance, and examples →
Available source metadata
- Author or creator
- Rigo-Mariani et al.
- Publisher
- Applied Energy
- Publication date
- 2026-09-11
- Date precision
- day
- Geographic scope
- Unknown
- Language
- unknown
- Peer review
- unknown
- Source access
- Automated access restricted
- Metadata confidence
- Metadata unconfirmed
- Last verified
- Not yet verified
- Snapshot import
- 2026-09-23
- Legacy domain
- AI & Energy
- Legacy subdomain
- Grid Tariffs and Energy Communities
- journal
- Applied Energy
- source evidence
- https://www.sciencedirect.com/science/article/pii/S0306261926014972?via%3Dihub
- metadata reviewed at
- 2026-09-20
Provenance and review
- Source access
- Automated access restricted
- Metadata confidence
- Metadata unconfirmed
- Editorial relevance
- Relevance has not been separately reviewed.
- Evidence quality
- Evidence quality has not been separately assessed.
Source sheet: Scientific Paper · Row 524 · Original ID: paper-520.
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A paper listing is not a quality assessment. Peer review and findings require source-level confirmation. Source blocks automated access · checked 2026-09-28. Metadata not yet corroborated. The import date is not the original date added.
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Related through shared environmental topics
Ordered by the number of shared provisional topic labels. This indicates a browsing connection, not agreement between sources.
Shared topics: Governance and society; Energy and electricity
Scientific Paper · 2026-09-15
This article proposes a five-step state policy roadmap for data center development: conduct environmental and community impact studies, use the findings in siting decisions, reassess incentives, require large facilities to pair with off-grid clean energy and storage, and mandate community-benefit sharing. It focuses on protecting grid reliability, electricity affordability, environmental integrity, and host communities.
Source: SSRNAutomated access restricted · Metadata unconfirmed
Shared topics: Governance and society; Energy and electricity
Tool
Get the info that you need about data centers and local opposition to them, as much as possible.
Source: AI Data Center MapReachable at last check · Required metadata corroborated
Shared topics: Governance and society; Energy and electricity
Organization · Other
A coalition working to unlock affordable, reliable power through flexible AI energy management.
Source: OrganizationExcluded from automated checks · Metadata unconfirmed
Shared topics: Governance and society; Energy and electricity
Organization · United States (North America); headquarters unknown
Alliance advocating responsible data center development, with protections for ratepayers, water resources and communities, developer-funded infrastructure, and local accountability.
Source: OrganizationNot checked · Metadata unconfirmed
