Comparative LCA of Urban Green Roofs in Mint and Madrid
Table Of Contents
Chapter ONE
INTRODUCTION
- 1.1Introduction
- 1.2Background of the Study
- 1.3Statement of the Problem
- 1.4Aim and Objectives of the Study
- 1.5Research Questions
- 1.6Research Hypotheses
- 1.7Significance of the Study
- 1.8Scope and Delimitation of the Study
- 1.9Limitations of the Study
- 1.10Organisation of the Study
- 1.11Operational Definition of Terms
Chapter TWO
LITERATURE REVIEW
- 2.1Conceptual Review: Green Roofs, LCA, and Urban Sustainability
- 2.2Conceptualisation of Life Cycle Assessment in building-scale urban greening
- 2.3Theoretical Framework: Ecological Modernisation Theory
- 2.4Theoretical Framework: Sustainable Urban Metabolism
- 2.5Empirical Review: LCA of Urban Green Roofs in European Cities
- 2.6Empirical Review: LCA of Green Roofs in Southern Europe and North Africa
- 2.7Empirical Review: Climate Impacts on Green Roof Performance and LCA Results
- 2.8Empirical Review: Materials, Assemblies, and Maintenance in Green Roof LCA
- 2.9Policy and Planning Context for Urban Green Roof Deployment
- 2.10Methodological Advances in LCA for Green Roofs
- 2.11Gaps in the Literature on Cross-City Green Roof LCA Comparisons
- 2.12Conceptual Model or Synthesis Diagram
Chapter THREE
RESEARCH METHODOLOGY
- 3.1Research Design: Comparative Cross-Sectional LCA Study
- 3.2Philosophical Paradigm: Pragmatism and Realism in Environmental Assessment
- 3.3Population of the Study: Urban Green Roof Projects in Madrid and Barcelona-like City Contexts
- 3.4Sample Size and Sampling Technique: Stratified Sampling of Buildings by Roof Type
- 3.5Sources and Instruments of Data Collection: LCA Databases, Field Measurements, and Architectural Plans
- 3.6Validation and Reliability of Instruments
- 3.7Data Collection Procedures
- 3.8Selection of Impact Categories and LCI Cut-offs
- 3.9Model Specification: Life Cycle Inventory and Impact Assessment Methods
- 3.10Data Analysis Plan: Statistical Comparisons and Uncertainty Analysis
- 3.11Ethical Considerations
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- ANALYSIS AND DISCUSSION OF FINDINGS
- 4.1Data Presentation: Overview of Collected Data and Coding
- 4.2Descriptive Analysis: Green Roof Characteristics by City Context
- 4.3Life Cycle Inventory Data Summary
- 4.4Life Cycle Impact Assessment Results: Madrid vs Mint City
- 4.5Hypotheses Testing: Statistical Differences in Environmental Impacts
- 4.6Sensitivity Analysis and Uncertainty Assessment
- 4.7Interpretation of Results: Drivers of LCA Differences
- 4.8Discussion of Findings in Relation to the Literature
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- CONCLUSION AND RECOMMENDATIONS
- 5.1Summary of Findings
- 5.2Conclusions
- 5.3Contributions to Knowledge
- 5.4Practical Implications for Urban Planning and Policy
- 5.5Recommendations for Green Roof Design and Maintenance
- 5.6Recommendations for Future Research
Thesis Abstract
Urban green roofs (UGRs) present a promising climate mitigation and ecosystem service strategy for dense urban areas, yet their environmental performance remains uncertain when comparing distinct climatic and urban contexts. This study addresses the knowledge gap by evaluating and contrasting the life cycle environmental impacts of UGRs implemented in Madrid, Spain, and Manchester, UK, with a focus on material composition, maintenance regimes, and end-of-life pathways to inform policy and planning decisions. The aim is to quantify cradle-to-grave environmental burdens and benefits associated with UGRs in two metropolitan settings that differ in climate, vegetation types, and urban density, thereby assessing the transferability of LCA results across European cities. Specific objectives include (1) to develop a harmonized LCA framework for UGRs that accommodates regional construction practices and maintenance schedules; (2) to quantify and compare greenhouse gas emissions (GHG), embodied energy, and potential water-energy nexus co-benefits over a 40-year life cycle; (3) to identify key drivers of environmental performance through sensitivity and scenario analysis; (4) to evaluate the influence of substrate depth, irrigation regimes, and plant selection on overall impacts; and (5) to provide evidence-based recommendations for design strategies that optimize environmental outcomes in temperate urban contexts. The methodology adopts a comparative positivist research design grounded in Life Cycle Assessment (LCA) per ISO 14040/44 standards. The population comprises urban green roof installations in Madrid and Manchester, with a stratified sample of 20 representative projects per city, totaling 40 case studies. Data collection employs primary instruments including site surveys and semi-structured interviews with 30 design engineers, facility managers, and horticultural contractors, complemented by secondary sources such as bills of quantities, maintenance logs, and municipal infrastructure records. The functional unit is defined as 1 square meter of fully operational green roof area over a 40-year life cycle. Process-based LCA (gate-to-grave) captures cradle-to-gate construction inputs, ongoing operational energy and water use, maintenance activities, and end-of-life disposal or recycling pathways. Characterization and impact assessment utilize the ReCiPe midpoint method (H set) and the Tool for Reduction and Assessment of Environmental Impacts (2.0), implemented in SimaPro v9.2, with uncertainty quantified via Monte Carlo simulations (10,000 iterations). Regression analysis and multivariate ANOVA will identify statistically significant differences between cities and influence of substrate depth, irrigation intensity, and plant assemblages on key impact categories such as GHG, acidification, eutrophication, and cumulative energy demand. A scenario analysis explores climate-related variations and alternative maintenance regimens. The study integrates a theoretical lens drawing on the Theory of Planned Behavior to interpret stakeholder decision-making processes in design and maintenance and the Urban Metabolism framework to situate UGRs within city-scale material and energy flows. Expected findings anticipate that Madrid’s semi-arid conditions and higher irrigation usage will yield lower water-related buffering benefits but higher embodied energy due to substrate depth and irrigation infrastructure, while Manchester’s cooler, wetter climate may produce greater stormwater retention benefits and different nutrient loading dynamics. Relative contributions of substrates, vegetation selection, and drainage layers to life cycle impacts are expected to diverge between cities, with sensitivity analysis highlighting substrate depth and irrigation frequency as primary leverage points. The study aims to demonstrate that cross-city LCA results require context-specific calibration and that standardized generic models may misrepresent environmental trade-offs of UGRs. The contribution to knowledge lies in delivering a robust, harmonized cross-city LCA framework for UGRs in temperate European cities, enriching methodological guidance for comparative assessments, and identifying design parameters that optimize environmental performance. Policy relevance includes informing municipal incentives for substrate choice, irrigation management, and maintenance scheduling to minimize life cycle impacts while maximizing ecosystem services. The main conclusion is that context-aware design and operation significantly shape the environmental viability of UGRs, and recommendations emphasize modular, climate-responsive specifications, reduced irrigation dependency through drought-tolerant plant palettes, and end-of-life recycling strategies to enhance circularity. Suggestions for further research include extending the framework to additional cities with diverse climates and exploring dynamic LCA incorporating temporal fluctuations in maintenance regimes and climate variables.
Thesis Overview
This research explores the environmental performance of urban green roofs by comparing two cities, Mint and Madrid, using a life cycle assessment (LCA) approach. The study asks whether green roofs in different urban contexts deliver comparable environmental benefits and where key differences arise due to climate, building practices, and maintenance regimes. Understanding these differences helps urban planners, architects, and policymakers design more sustainable rooftop interventions and avoid transferring solutions that work in one city but not in another.
Why it matters: Green roofs are increasingly promoted for stormwater management, cooling effects, and biodiversity in cities. However, their overall environmental impact depends on how they are designed, installed, maintained, and integrated into local energy systems. A cross-city comparison identifies context-specific drivers of impact, highlights best practices, and closes gaps in knowledge about the generalizability of green roof benefits.
What problem or knowledge gap it addresses: While many studies quantify the environmental performance of green roofs in single locations, there is limited evidence on how results translate across different climates and urban settings. Mint and Madrid provide distinct temperate climates with different rainfall patterns, temperatures, and building practices, offering an opportunity to test the universality or variability of green roof LCAs and to refine methodological choices for comparative analyses.
What the researcher will do step by step:
1) Define functional unit and system boundaries for green roof scenarios in both cities.
2) Compile inventory data on materials, installation, maintenance, energy use, water use, and emissions through literature, local builders, and city records. Target sample: 30 representative green roofs per city plus 10 conventional roofs as baselines.
3) Collect data on climate, building energy use, and maintenance schedules from municipal sources and utility records.
4) Apply life cycle assessment using established frameworks (ISO 14040/44) and conduct a cradle-to-grave analysis including production, construction, operation, and end-of-life phases.
5) Use impact assessment methods such as ReCiPe or TRACI to quantify categories like global warming potential, eutrophication, and urban heat island effects.
6) Perform statistical comparison (t-tests or ANOVA) to identify significant differences between Mint and Madrid results; conduct sensitivity and uncertainty analysis (Monte Carlo).
7) Interpret results in light of local practices and climate, and compare findings to existing literature to identify transferable insights.
Expected contribution: The study will illuminate how city-specific factors influence the environmental performance of green roofs, offer context-aware recommendations for design and maintenance, and advance methodological guidance for cross-city LCA of urban greening interventions.
Anticipated outcome: A robust comparative assessment showing which environmental benefits of green roofs are consistent across contexts and where adaptation is needed, culminating in practical guidelines for urban decision-makers.