⚡ electrical engineering

From Linear Waste to Closed-Loop Value: A Digital Twin-Enabled Parametric Cost Architecture for Circular Construction in Peru

This study proposes a digital twin-enabled parametric cost architecture that integrates circular economy principles to quantify potential waste valorization and lifecycle cost reductions for Peru's construction sector, while emphasizing that its simulated projections require field validation before regulatory or investment application.

Original authors: PAUL RICARDO PRUDENCIO GALVEZ

Published 2026-06-30

📖 5 min read🧠 Deep dive

CC BY 4.0

Original authors: PAUL RICARDO PRUDENCIO GALVEZ

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Imagine the construction industry as a giant, one-way conveyor belt. In most places, especially in developing economies like Peru, this belt works like this: you take raw materials from the ground, build a house, and when the house is old or needs to be torn down, you throw the rubble into a landfill. It's a "take-make-waste" loop.

This paper proposes a way to turn that straight line into a circle, using a high-tech tool called a Digital Twin and a new way of counting money.

Here is the breakdown of the paper's ideas in simple terms:

1. The Problem: The "Black Box" of Waste

In Peru, about 30% to 40% of all the trash in the country comes from construction sites. Currently, most of this waste is handled informally—dumped in unauthorized places or just piled up.

The author points out that Peru actually has laws (like Supreme Decree No. 002-2022-VIVIENDA) that say, "You must recycle this stuff." But there is a missing link: The math doesn't add up for the builders. Contractors don't recycle because they don't have a clear, auditable way to prove that recycling will save them money or make them a profit. They are flying blind, guessing whether recycling is worth the effort.

2. The Solution: The "Digital Twin" (The Ghost in the Machine)

Think of a Digital Twin as a perfect, living video game copy of a real building.

The Real Building: The physical bricks, concrete, and steel.
The Digital Twin: A virtual version that knows exactly what every piece of that building is made of, how old it is, and what it's worth.

As the building is used, the Digital Twin updates itself with real-time data. When it's time to demolish the building, the Digital Twin doesn't just see "rubble." It sees a "treasure map" of materials that can be salvaged, reused, or sold.

3. The New Way to Count Money: The "Recipe" for Profit

The paper introduces three specific "recipes" (formulas) to help builders calculate if recycling is actually profitable. These aren't just vague promises of "being green"; they are hard numbers.

Recipe A: The "Recycling Discount" (Parametric Cost Estimation)
Normally, you pay full price for new materials. This formula calculates the cost of using recycled materials by looking at the "recycling factor" stored in the Digital Twin. It's like a coupon that automatically adjusts the price based on how much good stuff you can pull out of the old building.
Recipe B: The "Future Value" Calculator (Lifecycle Cost Analysis)
Usually, when you build something, you assume it will be worth $0 when you tear it down. This formula changes that. It uses the Digital Twin to predict exactly how much the leftover materials will be worth in the future. It's like realizing your old car isn't junk; it's a collection of valuable parts you can sell.
Recipe C: The "Trash-to-Treasure" Score (Waste Valorization Economic Index)
This is a new scorecard invented by the author. It compares the money you make from selling recycled parts against the money you save by not paying to dump the trash.
- Score over 100: Recycling is cheaper and more profitable than dumping.
- Score under 100: Dumping is still the cheaper option.

4. The Experiment: Simulating a Building in Lima

The author didn't go to a construction site to test this physically (yet). Instead, they ran a massive computer simulation (a "Monte Carlo" simulation) using data from 265 real construction sites in Lima and verified studies from around the world.

The Results of the Simulation:

The Treasure Score: In the simulation, the "Trash-to-Treasure" score came out to 145. Since this is above 100, it suggests that for a typical mid-rise building in Lima, recycling is economically better than dumping.
The Savings: By using the Digital Twin to predict the future value of materials, the total cost of the building's life cycle dropped by 8% to 15%.
The "Recycling Tipping Point": The simulation showed that recycling isn't a straight line. If you only recycle 50% of the waste, you might actually lose money. But if you recycle 95% of it, you make a huge profit. The Digital Twin helps you hit that high 95% target.

5. The Catch (What the Paper Actually Says)

The author is very careful to state what this is not:

It is not a guarantee: These numbers are simulations, not measurements from a real building that was actually built and torn down using this system.
It is not a magic wand: The system requires a Digital Twin to exist first. Small construction companies in Peru might not have the money or tech to build a Digital Twin yet.
It is a "Feasibility Signal": The study proves the idea works mathematically. It says, "If you build the system, the math says you will save money." It does not say, "We have already saved money."

Summary Analogy

Imagine you are moving houses.

The Old Way: You throw everything you don't need into a dumpster and pay a fee. You don't know if any of your old furniture is valuable.
The New Way (This Paper): You have a "Smart Inventory App" (Digital Twin) that scans your house. It tells you, "That old sofa is worth $200, and that oak floor is worth $500." It then gives you a calculator showing that if you sell the furniture and reuse the floor, you will save $1,000 compared to just throwing it away.

The paper says: "We built the App and the Calculator. We ran the numbers, and they look great. But we haven't actually moved the house yet to prove it works in real life."

Technical Summary: From Linear Waste to Closed-Loop Value

Problem Statement
The global construction sector generates approximately one-third of all solid waste, operating primarily on a linear "extract–build–demolish–dispose" model. This is particularly acute in emerging economies like Peru, where Construction and Demolition Waste (CDW) constitutes 30–40% of the national solid waste stream. Field surveys of 265 construction sites in the Lima Metropolitan Area reveal that the majority of this waste is handled informally and lacks systematic valorization.

While regulations exist (e.g., Supreme Decree No. 002-2022-VIVIENDA) and Digital Twin (DT) technology has been studied for circular economy (CE) applications, a critical gap remains: there are no verifiable, auditable cost-engineering models that connect DT capabilities to economic decision-making in Latin American contexts. Existing literature often reports environmental metrics without standardized cost formulas, relies heavily on high-income country data, and frequently lacks explicit treatment of uncertainty, making it difficult for contractors to distinguish robust estimates from illustrative claims.

Methodology
This study employs a mixed-methods design structured under the IMRAD format, adhering to strict verification protocols:

Systematic Literature Synthesis: A comparative matrix was constructed using only peer-reviewed sources with resolvable Digital Object Identifiers (DOIs) to eliminate fabricated or hallucinated references. Twelve verified sources were analyzed to extract specific quantitative findings regarding DT-CE integration.
Cost-Engineering Adaptation: Three families of cost formulas were adapted for a DT environment:
- Parametric Cost Estimation: Replaces unit-rate estimating with a statistical relationship between historical costs and project parameters, incorporating a recycling/reuse factor ( $F_{rec}$ ) derived from the DT's material passport.
- Lifecycle Cost Analysis (LCCA): Extends standard LCCA by replacing static salvage value assumptions with a dynamic residual value ( $RV_{dt}$ ) forecasted by the Digital Twin based on real-time condition and market data.
- Waste Valorization Economic Index (WVEI): A proposed metric calculating the ratio of recovered value (recycling/reuse revenue minus processing costs) to avoided disposal costs.
Statistical Robustness: To address uncertainty, a Monte Carlo sensitivity procedure (10,000 iterations with triangular input distributions) was applied to the Peru-specific application. Results are reported as medians with 10th–90th percentile (P10–P90) intervals rather than deterministic point estimates.
Scope: The study involves no human participants, animal subjects, or field experimentation. It is a computational modeling exercise based on secondary data and mathematical simulation.

Key Contributions
The paper makes three primary contributions to the field of construction economics and circularity:

Verified Comparative Matrix: A synthesis of documented DT-CE studies reporting specific quantitative findings (e.g., material recovery gains of 25–45% and waste reductions of 27–38.7%) rather than generic claims.
Auditable Cost Architecture: The development of three formula-based models (Parametric Cost, Dynamic LCCA, and WVEI) explicitly designed to be embedded within a Digital Twin, allowing for traceable economic auditing of circular strategies.
Contextualized Simulation: A Peru-specific application that explicitly labels its numerical outputs as "simulated projections" bounded by literature-derived ranges, providing a technically grounded complement to national policy without misrepresenting unvalidated data as field-measured outcomes.

Results

Literature Synthesis: The comparative analysis confirms that DT-driven demolition simulations can shift projects from net financial deficits to substantial benefits as recycling rates increase. For instance, one cited simulation showed a shift from a net deficit of –£10,627.62 at 50% recycling to a net benefit of £110,941.57 at 95% recycling.
Simulated Application (Peru): Applying the proposed architecture to an illustrative mid-rise residential project in Lima yielded:
- Waste Valorization Economic Index (WVEI): A median of 145 (P10–P90: 118–172). A value >100 indicates that valorization is economically preferable to disposal under the modeled conditions.
- Lifecycle Cost Reduction: Incorporating DT-informed residual values reduced simulated lifecycle costs by 8–15% compared to a static-assumption baseline.
Validation Status: The authors explicitly state that these figures are not field-measured outcomes. They represent internally consistent, economically plausible projections that require future validation against instrumented construction sites.

Significance and Claims
The paper argues that Digital Twins can operationalize circular economy principles in construction only when coupled with auditable, formula-based cost engineering rather than qualitative sustainability claims.

Policy Relevance: For Peru, the framework offers a technical mechanism to fulfill the economic rationale behind Supreme Decree No. 002-2022-VIVIENDA and the National Circular Economy Roadmap to 2030. It addresses the "binding constraint" identified in the Lima surveys: the lack of verifiable economic instruments that make waste valorization a rational choice for contractors.
Modesty of Claims: The study treats the lack of field validation not as a limitation to be minimized, but as a core finding. It posits that the proposed architecture is a "feasibility signal" and a "technically grounded complement" to existing regulations. The authors caution that specific numerical outputs (like the WVEI of 145) must not be used for regulatory or investment decisions until validated by field data from instrumented Peruvian projects.
Future Direction: The paper identifies the necessary next steps as instrumented pilot projects in Lima, standardized data-exchange protocols between municipal registries and DTs, and financing instruments to lower the upfront technology barrier for small and medium-sized enterprises (SMEs).