Comparative Life-Cycle Energy Use in High-Rise vs. Low-Rise Buildings | Blazingprojects Postgraduate Thesis
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Comparative Life-Cycle Energy Use in High-Rise vs. Low-Rise Buildings

 

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: Life-Cycle Energy Concepts in Building Typologies
  • 2.2Conceptual Review: High-Rise Building Characteristics and Energy Demands
  • 2.3Conceptual Review: Low-Rise Building Characteristics and Energy Demands
  • 2.4Theoretical Framework: Life-Cycle Assessment Theory and Energy-Economy Interactions
  • 2.5Theoretical Framework: Sustainable Construction and Building Performance Models
  • 2.6Empirical Review: Life-Cycle Energy in High-Rise Structures Across Regions
  • 2.7Empirical Review: Life-Cycle Energy in Low-Rise Structures Across Regions
  • 2.8Comparative Studies: High-Rise vs. Low-Rise Energy Profiles
  • 2.9Climate and Urban Form Impacts on Building Energy Use
  • 2.10Material and Construction Phase Energy Intensity
  • 2.11Operational Phase Energy Use and User Behavior
  • 2.12End-of-Life and Demolition Energy Implications
  • 2.13Gaps in the Literature and Justification for the Study
  • 2.14Conceptual Model or Synthesis of the Review

Chapter THREE

RESEARCH METHODOLOGY

  • 3.1Research Design: Comparative Cross-Sectional Life-Cycle Assessment
  • 3.2Philosophical Paradigm: Ontology and Epistemology Considerations
  • 3.3Population of the Study: Urban Building Stock Dataset
  • 3.4Sample Size and Sampling Technique: Stratified Sampling of High-Rise and Low-Rise Buildings
  • 3.5Sources and Instruments of Data Collection: Building Inventory, Energy Metering Data, and LCA Tools
  • 3.6Validity and Reliability of Instruments
  • 3.7Data Cleaning and Preprocessing Procedures
  • 3.8Method of Data Analysis: Life-Cycle Energy Evaluation, Statistical Comparison, Sensitivity Analysis
  • 3.9Model Specification or Analytical Framework: LCA with Scenario Analysis
  • 3.10Ethical Considerations in Data Handling and Reporting

Chapter FOUR

DATA PRESENTATION AND ANALYSIS

  • ANALYSIS AND DISCUSSION OF FINDINGS
  • 4.1Data Presentation: Building Stock Characteristics by Height Category
  • 4.2Descriptive Analysis: Energy Use Intensities by Typology and Climate Zone
  • 4.3LCA Results: Stage-Wise Energy Flows for High-Rise and Low-Rise Buildings
  • 4.4Hypotheses Testing: Differences in Whole-Building Life-Cycle Energy
  • 4.5Sensitivity and Uncertainty Analysis of Key Parameters
  • 4.6Comparative Discussion: High-Rise vs. Low-Rise Energy Profiles
  • 4.7Impact of Climate, Urban Form, and Materials on Results
  • 4.8Results in the Context of Existing Literature

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • CONCLUSION AND RECOMMENDATIONS
  • 5.1Summary of Findings
  • 5.2Conclusion: Implications for Policy, Practice and Design
  • 5.3Contribution to Knowledge
  • 5.4Recommendations for Design, Policy and Practice
  • 5.5Suggestions for Further Studies

Thesis Abstract

This study addresses the escalating energy demands of urban forms by comparing life-cycle energy use between high-rise and low-rise buildings, highlighting gaps in conventional design practices that prioritize operational energy savings while underrepresenting embodied energy and end-of-life impacts. The aim is to quantify and contrast cradle-to-grave energy consumption across construction, operation, and demolition phases for representative high-rise and low-rise residential and commercial buildings, and to identify design, material, and operational factors driving differences. Specific objectives include (1) determining the life-cycle energy intensity (MJ/m2) for each building category; (2) partitioning energy use into embodied, operational, and end-of-life components; (3) evaluating the influence of climatic zones, building envelope performance, and vertical transportation on life-cycle energy; (4) assessing the sensitivity of results to material choices and occupancy patterns; and (5) deriving practical recommendations for minimizing life-cycle energy through integrated design strategies. The methodology employs a comparative, cross-sectional research design using a mixed-methods framework. The population comprises contemporary urban buildings in three climate regions with matched floor area and service levels high-rise (20–40 stories) and low-rise (2–4 stories) structures. A purposive sample of 12 buildings (6 high-rise, 6 low-rise) is selected to reflect representative typologies and material assemblies. Data collection instruments include (i) a Bill of Quantities and architectural drawings for embodied energy estimation, (ii) detailed energy models calibrated with measured utility data over a 24-month period, (iii) questionnaires and interview guides for facility managers to capture occupancy schedules and maintenance regimes, and (iv) life-cycle inventory data from established databases (e.g., ecoinvent, nationally published benchmarks). Embodied energy is estimated using input-output and process-based life-cycle assessment methods, while operational energy is derived from monitored energy consumption normalized by floor area and occupancy. End-of-life energy uses are projected based on deconstruction pathways and recycling rates. Validity and reliability are ensured through triangulation of theoretical models, cross-validation with metered data, and test-retest of survey instruments. Analytical techniques include descriptive statistics to summarize energy components, and inferential analyses comprising multivariate regression to identify determinants of life-cycle energy, ANOVA to test differences between high-rise and low-rise categories, and sensitivity analysis to examine parameter uncertainty. A combined life-cycle energy model is specified to estimate cradle-to-grave energy per square meter, incorporating factors such as envelope U-values, glazing ratios, insulation thickness, mechanical system efficiency, elevator performance, and occupancy patterns. The study also employs a simple scenario analysis to explore low-energy retrofit options and their impact on life-cycle energy. Theoretical grounding draws on the Theory of Planned Behavior to interpret occupancy-related energy use behavior and on the Theory of Embodied Energy to frame material and construction choices; a conceptual framework links building typology, climatic context, and life-cycle phases to energy outcomes. Expected findings suggest that embodied energy constitutes a substantial share of total life-cycle energy in high-rise developments due to material intensity and long supply chains, while operational energy differences are moderated by vertical transportation efficiency and pace of occupancy. Low-rise buildings may exhibit lower embodied energy but potentially higher operational energy per unit floor area depending on envelope performance and fenestration strategies. The research anticipates that climate-specific factors and high-performance envelopes can mitigate life-cycle energy in both categories, with mixed-use configurations and modular construction emerging as particularly impactful. Contributions to knowledge include a rigorous comparative quantification of life-cycle energy for high-rise versus low-rise buildings, an integrated methodological framework combining cradle-to-grave LCA with monitored energy data, and evidence-based design recommendations for reducing life-cycle energy across urban forms. The study will inform policy discourse on sustainable urban density, building codes, and procurement practices by highlighting the relative importance of embodied energy and the effectiveness of envelope, material choices, and vertical transportation strategies in shaping overall energy performance. The main conclusion underscores the primacy of adopting holistic life-cycle thinking in urban building design, advocating for early-stage material optimization, low-embodied-energy supply chains, and high-performance, occupant-centered operation protocols; recommended actions include adopting integrated project delivery, enhanced data transparency for embodied energy, and policy incentives for retrofit-driven life-cycle energy reductions.

Thesis Overview

This research explores how the energy a building uses over its entire life cycle differs between high-rise and low-rise structures, considering construction, operation, and end-of-life phases. It asks whether tall buildings inherently demand more or less energy over time when factors like materials, fabrication processes, occupancy patterns, and building services are accounted for. The study addresses a gap in comparative life-cycle energy assessment that combines structural height categories with consistent boundary conditions, ensuring differences are due to height rather than location or design. Why it matters: energy use in buildings dominates greenhouse gas emissions in many urban areas. Understanding whether high-rise or low-rise designs are more energy-efficient over their life cycles informs planners, developers, and policymakers seeking to reduce environmental impact without compromising urban density or comfort. What the researcher will do step by step: - Define a study scope that includes a representative sample of high-rise and low-rise buildings within a metropolitan region, ensuring similar function, size range, and climate exposure. - Collect data on material quantities, construction practices, HVAC and electrical systems, operational energy use, and maintenance schedules through site records, bill analyses, and manufacturer specifications. - Apply a life-cycle energy assessment framework to quantify embodied energy (materials and construction) and operational energy (during use) across a 50-year horizon, including end-of-life scenarios. - Use a consistent baseline and perform sensitivity analyses to account for variability in occupancy, energy prices, and retrofit scenarios. - Analyze data with regression techniques to compare life-cycle energy intensities between high-rise and low-rise groups, and conduct scenario analyses (e.g., efficient envelopes, passive design) to test potential improvements. - Interpret results in light of the theoretical underpinnings of energy optimization in tall versus short buildings. Expected contribution: a robust, comparative evidence base for life-cycle energy performance of different building heights, informing design guidelines, policy development, and retrofitting strategies that optimize overall energy use. Anticipated outcome: findings may reveal trade-offs where high-rise buildings excel in embodied energy efficiency but may require more intensive operational strategies, or vice versa, guiding targeted improvements and future research directions.

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