Conceptual Framework for the Implementation of Intelligent Microgrids in Emerging Markets

This study develops an evidence-based sustainability-readiness and screening-level techno-economic framework for intelligent microgrid implementation in emerging energy markets, using Bulgaria as an evidence-based national case application. It addresses the mismatch between renewable-energy expansion and slower progress in smart metering, distribution-grid observability, data interoperability, local flexibility and institutional coordination. The methodology combines functional benchmarking, a Strengths, Weaknesses, Opportunities and Threats (SWOT)-informed readiness assessment, normalized gap (GAP) measurement, intervention prioritization and an illustrative industrial-zone scenario. Denmark and Greece provide complementary references for digital-market maturity and territorial resilience. Distribution-grid observability, smart-meter deployment, digital interoperability and local flexibility are ranked as the leading deficits, and the four highest priorities remain stable under a ±20% weight perturbation. The scenario is explicitly screening-level: local self-consumption and peak-load reduction are assumptions rather than outputs of hourly battery dispatch. Under baseline assumptions, annual photovoltaic (PV) generation is estimated at 13,500 megawatt-hours per year (MWh/year), avoided emissions at 3686 tonnes of carbon dioxide per year (tCO2/year), and the simple payback period at 6.3 years. The framework links readiness evidence to intervention priorities and transparent screening outcomes.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2026-07-22
DOI
https://doi.org/10.3390/su18147476
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Conceptual Framework for the Implementation of Intelligent Microgrids in Emerging Markets

Kiril Luchkov, Galina Chipriyanova, Mihail Chipriyanov, Marin Marinov
Sustainability
Smart Grid Energy Management
article

Conceptual Framework for the Implementation of Intelligent Microgrids in Emerging Markets

Kiril Luchkov, Galina Chipriyanova, Mihail Chipriyanov, Marin Marinov
article en

Abstract

This study develops an evidence-based sustainability-readiness and screening-level techno-economic framework for intelligent microgrid implementation in emerging energy markets, using Bulgaria as an evidence-based national case application. It addresses the mismatch between renewable-energy expansion and slower progress in smart metering, distribution-grid observability, data interoperability, local flexibility and institutional coordination. The methodology combines functional benchmarking, a Strengths, Weaknesses, Opportunities and Threats (SWOT)-informed readiness assessment, normalized gap (GAP) measurement, intervention prioritization and an illustrative industrial-zone scenario. Denmark and Greece provide complementary references for digital-market maturity and territorial resilience. Distribution-grid observability, smart-meter deployment, digital interoperability and local flexibility are ranked as the leading deficits, and the four highest priorities remain stable under a ±20% weight perturbation. The scenario is explicitly screening-level: local self-consumption and peak-load reduction are assumptions rather than outputs of hourly battery dispatch. Under baseline assumptions, annual photovoltaic (PV) generation is estimated at 13,500 megawatt-hours per year (MWh/year), avoided emissions at 3686 tonnes of carbon dioxide per year (tCO2/year), and the simple payback period at 6.3 years. The framework links readiness evidence to intervention priorities and transparent screening outcomes.

SustainabilityVol. 18(14)
Technical University of Sofia (BG), D. A. Tsenov Academy of Economics (BG)
Openalex Percentile: Top 15%
Smart Grid Energy Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.