A Systematic Literature Review of the Adoption of Building Information Modelling (BIM) on Life Cycle Cost (LCC)

: The need for embedding sustainability in construction development contributed to the introduction of Building information Modelling (BIM) to be adopted into the Life Cycle Cost (LCC) process. Through BIM, project information used during design can be shared to estimate the project’s end of life costs. LCC enables to assess the overall cost of an asset (building) through its life cycle via functionalities including the original investment costs, maintenance expenses, operating expenses, and the remaining value of the asset at the end of its life. The objective of this paper is to discuss the merging of BIM into LCC through four prevalent aspects; methodology, design software used, beneﬁts, and challenges. A total of 20 studies were reviewed upon ﬁltering process using PRISMA method. These studies discussed at least one of the aspects mentioned and contributed to the information regarding BIM and LCC. This paper thus aims to expanding studies on BIM adoption on LCC through the collected information sourced from peer-reviewed publications.


Introduction
The impact of climate change and the related issues have increasingly become a subject of research amongst a wide range of scientific disciplines [1]. In Engineering, attending the Climate Emergency is therefore at the top of the priorities for present and future generations [2]. According to Obrecht et al. [3], buildings are the major contributor to the climate change generating as much as 40-50% of the world greenhouse gas emissions and 30-40% of the world energy consumption [4]. Although these record will soon be outdated given the speed of progress of buildings development around the world, these depict the level of challenge we all share and understand. This has prompted professionals involved in developing the built environment to devise strategies for mitigating the impact to society. Along those lines, the life cycle cost (LCC) of an asset or component now integrates BS ISO 15686-5 as "cost of an asset or its parts throughout its lifecycle, while fulfils the performance requirements" [5]. The integration of life cycle assessment (LCA) and LCC methodologies expected to create or enhance mechanisms for minimizing the buildings impact towards environment [6]. Furthermore, BIM is now identified as an effective platform to enable the prediction of LCC in various stages of design [5,[7][8][9][10], one being through the integration of Building Information Modelling (BIM).
BIM facilitates the interaction of two separate systems or software programs [11]. Takim et al. [12] in fact describe BIM as a computer-generated model to stimulate all four aspects of planning, design, construction and operation of a building in a project. These technologies allow users to generate a visual simulation of a design by constructing a digital prototype of a building before construction, as opposed to the previous method of manually exchanging information amongst design consultants, for example through the import/export of data using 3D drawing packages and computer aided design (CAD) programs. For modern urban developers, the information exchange involves civil, mechanical However, WLC is affected by external evaluation factors for example non-construction costs are that acquisition costs, fees, rental costs, and applicable taxes. Furthermore, externalities are costs unrelated to the building's assets, such as the opportunity costs of capital that return from the project's benefits. In addition, income is the future income of the project because of the investment. Also, as the environmental analysis required a long period of analysis, often for the whole life cycle of the building, LCC analysis did not directly address the environmental costs impacts.
In reflection to code recommendations and academic reports, Marzouk et al. [5], Biolek and Hanak [19] and others reinforced the idea that the cost of a building project should be calculated for its entire life cycle. The calculation of the LCC can enhance the decisionmaking process to lead to appropriate judgements on the performance of the building through its lifecycle. The features of BIM that equips users with visual tools and detailed information of activities and materials can therefore increase accuracy and consistency of LCC results [20].
The present paper provides a systematic review on the current adoption practice on the implementation of the Building Information Modelling (BIM) on Life Cycle Cost (LCC). It focuses on methodologies, software capabilities, benefits and challenges imposed by the adoption of innovative information management technologies.

Methodology
Systematic reviews have been conducted using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) recommended by Page et al. [21]. The following paragraphs describe the data mining process and its key outcomes

Search Strategy
Electronic databases namely (Web of Science, Google Scholar, Scopus and Science Direct) were utilised for the systematic search of the relevant publications. This study targeted articles that were published between 2012 and 2021, in English.

Key Terms Search
The following keywords, descriptions and their combinations were used placed with Boolean operators of "And" and "Or" to search the relevant articles: "Building Information Modelling", "BIM", "Life Cycle Cost", "LCC", "Building Information Modelling and Life Cycle Cost", "BIM and LCC". Three specific keywords were used: "BIM on LCC", "BIM adoption LCC", and "BIM design on LCC".

Inclusion and Exclusion Criteria of the Study
The search pre-selected articles strongly related to BIM and LCC in construction or built environment industry. The inclusion criteria were first the articles should have been written by valid scholars and second, they should have been published in indexed journals within the last 10 years i.e., the period 2012-2021. Table 1 shows the inclusion and exclusion consideration of the search criteria.

Types of studies
The empirical studies involving qualitative, quantitative, mixed-method, pilot study, meta-analyses Editorial letters, government's documents, expert opinions, policy brief, and other non-primary research

Types of topics covered
Any topics that included the BIM and LCC in relevant field of construction and engineering.
Topics of BIM, LCC in other fields.

Search Outcomes
The search engines, Web of Science, Google Scholar, Scopus and Science Direct, identified 655 relevant titles to the keywords of "BIM on LCC" for the period of 2012-2021. The Web of Science reported 268 articles, Google Scholar did so with 53 articles, Science Direct 56 articles, and Scopus 278 articles by using similar keyword and time-frame. Following, a second search was undertaken with the keywords "BIM adoption LCC". This identified 56 articles in the Web of Science Database, 19 in Google Scholar, 37 in Science Direct, and 57 in Scopus. Lastly, the keyword "BIM design on LCC" was used resulting in 67 articles in Web of Science, 15 in Google Scholar, 19 in Science Direct, and 49 in Scopus. As demonstrated in Figure 2. The selection of the articles then went into the inclusion and exclusion filtering criteria. There were 21 articles reviewed for legibility. However, one of them were excluded due to irrelevancy, thus making the number of the final articles for review purpose twenty (20). Figure 3 shows the flowchart of the PRISMA filtering process based on the inclusion and exclusion criteria for this study. The findings indicate that 2.05% of articles were approved through the database. The main reason for the limited acceptance rate of articles is that search engines aggregate articles based on their keywords. As a result, the search strategy was significant to classify publications according to previously defined approaches and acceptance and rejection criteria. Figure 4 shows the classification of papers accepted and rejected.

Rationale of the Selected Studies
Following the above search approach there were 20 articles extracted. The latter contained the review aspects being the benefits, challenges, methodologies, and software analyses during design phase regarding BIM adoption on LCC. Table 2 presents detailed information contained in the selected articles based on each review aspect (methodology, benefits, challenges, and software designs). Table 3 presents detailed information for each article in line with the content of the review aspects.    Using a simulation model, the function is extracted from the Optimization Model (Utilizing the Genetic Algorithms (GA)).

4.
This approach minimises the LCC of construction materials by identifying the optimal scenarios.

Benefits
The Integration of BIM with Monte-Carlo Simulation and Optimization Modelling helps decision-makers select sustainable material selection from an environmental and economic perspective, thus predicting its LCC and the highest amount of LEED-Credits Scores possible during the evaluation. Challenges NONE [5] BIM-Design Software Used Autodesk Revit [40].

Article Title
Development of a BIM-based Environmental and Economic Life Cycle Assessment tool Article Focus: Proposing the BIMEELCA Tool as one of the methodologies to integrate BIM and LCC.

BIMEELCA Tool 2.
In LCC analysis, the establishment of common measures that relate to an environmental effect category and a purchase cost would be automated.

3.
The parameters allow user to visualise a window containing information on the elements and materials inserted in the model as well as useful information to perform the analyses.

4.
Choosing the functionality for environmental and economic evaluation of each element.

Benefits
• The presentation of a functioning BIMEELCA tool that enables users to enter the necessary data into the Bim for the LCC analysis.

•
The BIMEELCA tool procedure involves integrating spreadsheet data into the model and generating an automated quantity take-off, culminating in an automated Optimized LCC analysis. Challenges NONE

Reference No
The Description

Article Title
Building information modeling based building design optimization for sustainability Article Focus: To build a BIM-based multi-objective optimization framework to aid designers in identifying and selecting the ideal carbon dioxide emissions and cost commutation design plan for their customers.

Methodology
Stages were taken to integrate BIM modelling, simulation, thermal and lighting performance analysis, and database functions: 1.
Adopted a BIM-based building design optimization model.

2.
The 3-D models were adopted and developed in the BIM systems. 3.
In the database, all critical location, climate, and material information has been collected. 4.
The Ecotect software was used in the analysis. For the purposes of optimization, the researchers utilized MOPSO to find the optimal design scheme.

•
The BIM model allowed the researchers to incorporate sustainabilityrelated information such as carbon emissions during the first phases of the project.

•
The BIM enabled the researchers to estimate the maintenance costs during the first phases of the project.

•
The BIM proved to be a multi-objective model that can help designers design a building that meets multiple sustainability requirements. • Designer can easily check for reasonability and mistakes because the designs are visible visually

Challenges
The BIM does not have its own database and therefore, the researchers have to rely on inputting new data. [22]

Article Title
Embedding life cycle costing in 5d BIM Article Focus: The purpose of this study is to determine whether LCC can be effectively integrated into a 5D BIM platform.

Methodology
• An approach to apply LCC calculation structures in 5D BIM technology (CostX) as an extension to the 5D BIM process.

•
The CostX enables a quick and accurate take off quantities from 2D dwgs and BIMs. • LCC calculations were then embedded into (Workbook of) CostX.

Benefits
• Highlights the benefits of 5D BIM software, which is able to accommodate variable conditions (such as those in probabilistic LCC analysis) with greater computing power than BIM design software (such as Revit or Archicad).

•
It is proposed that the proposed process provides an integrated environment that links the cost plans/BOQs of the QS with the LCC calculations.

Challenges
• Lack of standardization of the proposed LCC structure of calculation • Benefits of LCC cannot be realised due to lack of demand by clients [23] BIM-Design Software Used Autodesk Revit [40]. Table 3. Cont.

Reference No The Description
Article Title BIM-based life cycle assessment and life cycle costing of an office building in Western Europe. Article Focus: Reviewing the BIM and LCC integration through an office building.
Merging all models (architectural and structural) into a single model.

2.
Utilize the exported list to analyze BIM model information.

3.
Check the exported list to identify duplicates. 4.
In order to enable LCC tools to correctly read bills of quantities, the entire project was homogenized.

5.
A project that includes information on the environment, economics, and mechanical aspects. 6.
Make a list of all the materials and elements in the project (XLS spreadsheet). 7.
It is possible to conduct an LCC analysis that is streamlined and comprehensive. (Streamlined LCA/LCC Analysis)

Benefits
• Incorporating information freely into the LCC calculation is possible.

•
The nature of flexibility in the integration of BIM tools with LCC external database.

•
Through the selection of sustainable materials and appropriate products in accordance with the remaining service life of the building, the BIM-LCC framework promotes the use of sustainability-related methodologies early in the process.

Challenges
A complete analysis of a project is carried out with the help of the users, such as designers and LCC experts.

1.
Application of BIM methodology through modeling of the buildings.

2.
It is the goal and scope of each case, as well as the inventory and environmental impact assessment, that determine the LCA assessment.

3.
A 50-year period was considered for the LCC calculation of constructing the new building and demolishing it, whereas seismic reinforcement and demolition costs associated with demolishing the precast elements of the existing building were considered for a 20-year period.

Benefits
Based on a Life Cycle Assessment and Life Cycle Costing analysis, renovating the existing building appears to be the most advantageous option, since it has a significantly lower environmental impact and reduces carbon emissions by up to 128.5 times while resulting in a 3.79 times lower cost than a new building.

Challenges
There was LCC uncertainty between the actual costs of implementing and destroying precast parts and seismic reinforcement. At the same time, there were no estimates for a 50-year service life, so inflation was excluded from the calculations. [25]

BIM-Design Software Used
Autodesk Revit [40]. Establishing a database of performance cost and reference data in order to form the preliminary estimation algorithm. 3.
The information extracted from the databases is used by system linking to connect the database base information. 4.
BIM-based preliminary estimation uses similar cost and standard data in order to provide designers with LCCs based on their design alternatives.
(Because tthe estimate is based on the mass model in the early stages of the design proces).

Benefits
• It is possible to provide LCC using BIM in the early stages of the design process based on accurate preliminary estimations and alternative approaches. • This information can be used by clients and designers to make informed decisions.

Challenges
• Estimating the cost of a building type that is not included in the constructed database can be challenging.

•
It is important to keep in mind that in addition to the estimation criteria, the government established its own standard that results in limited classification and scope, which makes estimating LCCs more difficult. [26]

Article Title
A BIM-Integrated Relational Database Management System for Evaluating Building Life-Cycle Costs Article Focus: To develop integrated BIM database system capable to utilize LCCA.

Methodology
The development of BIM-integrated relational database management system (RDBMS) with 2 interrelated modules: • Visualised BIM-Integrated Module and Relational Database Management Module.

•
The data can be collected, organized, stored, and used in conjunction with either of the two methodologies to construct LCCA.

•
In developing a BIM-integrated RDBMS, the components of the database management system, the BIM authoring system, the spreadsheet system, and the visual programming interface are integrated to reduce the calculation time.

•
To reduce or eliminate data loss as well as inconsistencies due to human error, which will result in more accurate results.

Challenges
• Current BIM tools are not capable to manage the required data into LCCA process.

•
Various tools and formats are incompatible with each other because of unstructured data.

•
It is challenging to segregate standards, calculation methods, and interoperable technologies. [27]

Reference No The Description
Article Title Integration of Life Cycle Data in a BIM Object Library to Support Green and Digital Public Procurements Article Focus: To review an evaluation system and a workflow in consideration of life cycle of a construction. (Review)
Uses of several software such as SimaPro, CostLab, Excel etc to conduct LCC.

2.
An LCC database is connected to a quantity generated by a BIM model.

3.
The LCC data is directly integrated into the BIM model.

Benefits
• It is possible to optimize the performance of buildings in terms of both environmental and economic factors. In addition to comparing different life cycle phases, economic evaluations were carried out on the results.

Benefits
The usability of the integration of BIM and LCC allows for comparative studies to reduce the environmental impact of selecting sustainable facades. Challenges NONE [29] BIM-Design Software Used Autodesk Revit [40]. An external database can be exported from the BIM tool that contains the information required for LCC estimation.

Benefits
In the construction industry, the framework provides an opportunity to increase the flexibility of earthquake measurement scenarios during the design process. Challenges NONE [30] BIM-Design Software Used Autodesk Revit [40].

Article Title
A performance data integrated BIM framework for building life-cycle energy efficiency and environmental optimization design Article Focus: Designing an integrated BIM (P-BIM) framework that incorporates LCC at the early stage of the design process for optimizing building energy efficiency and environmental performance.
Three layers of carries − Inner Layer Carrier = Autodesk Revit, Outer Layer Carrier = MySQL, Middle Layer Carrier = Rhino Inside.

2.
This tool in Rhino calculates the initial cost of construction by selecting various types of saved construction configuration choices 3.
The LCC index provides detailed cost information, including Initial Cost, Operational Cost, Replacement Cost, and System Cost.

•
In the early stages of design, LCC assessments may be possible through the extension of the P-BIM framework to include data dimensions regarding costs, acoustics, and visual environments. • By integrating P-BIM into the project life cycle, architects can enhance their awareness and control of the architect's role during the project life cycle. P-BIM can reduce the gap between the expected and actual performance from design separation and procurement.

Article Title
Integration of life cycle assessment and life cycle cost using building information modeling: A critical review. Article Focus: To review relevant peer-reviewed papers in a study on integration of LCA and LCC with BIM.

Methodology
Based on reviewed studies, authors found the three (3) major strategies approaches for BIM-integrated LCC and LCA: 1.
Using external platform software to export data from BIM models.

3.
Created relevant data within BIM model.

Benefits
• Integrating BIM-LCC/LCA into the early phases of design assists designers in determining the environmental impact and cost of the project throughout its life cycle.

•
Five stages of life cycle analysis are incorporated in BIM-integrated LCA and LCC: design, building, operational, maintenance, and destruction.

•
The operational information must be provided by a variety of stakeholders. • By integrating LCA and LCC into BIM, there are only three stages of operation, design, and demolition that can be addressed. [32] BIM-Design Software Used NONE Table 3. Cont.

Reference No The Description
Article Title Integration of LCA and LCC analysis within a BIM-based environment Article Focus: The purpose of this project is to explore the potential of BIM as a repository for the LCA and LCC information, and how that information can be used to conduct a cost-benefit analysis with respect to the project.

Methodology
• Using a BIM environment, the researchers identified all the information needed to perform LCA and LCC analyses. • They further developed a BIM-LCA/LCC framework. The IMD/MDV technology was later applied to the developed framework.

Benefits
• BIM presents an effective model that can help in development of suitable model that can be used in exchange of sustainability-related information using different software.

•
The BIM is a useful tool for promoting LCA and LCC analysis.

Challenges
• BIM requires more information than what is contained in the LCA and LCC in conducting an analysis.

•
Restriction on materials that are used in the current LCA-BIM models present a challenge on the existing BIM based LCA tools. • Inaccurate information may result from a lack of semantic information inside the BIM. [33]

Simulation-Based Multi-Objective Optimization of institutional building renovation considering energy consumption, Life-Cycle Cost and Life-Cycle Assessment
Article Focus: To find the best energy consumption and LCA scenarios for renovating institutional buildings.

•
The model has four major phases. The first phase is the model input data collection that aims at defining the model's input data collection methods and developing BIM model.

•
The second phase is development of database and integration and allocates methods for each strategy.

•
The third phase id definition of the strategies of renovation.

•
The last phase involves simulation-based optimization of many objectives.

•
The BIM was found to be a useful model that could help in optimizing the building and renovation scenarios and help in minimizing the LCC, TEC and even the environmental impacts of the buildings. • BIM can help in achieving energy savings in the buildings. Challenges NONE [34]

Article Title
The Implementation of Life Cycle Costing towards Private Client's Investment: The Case of Malaysian Construction Projects Article Focus: To review the LCC scenario in Malaysia (Quantitative Case Study)

Methodology
Using the survey methodology to collect data by adopting a quantitative approach and a questionnaire. To measure the level of real estate developers' agreement on: 1. Importance of applying LCC in the construction industry.

2.
Determine the benefits of implementing LCC.

Benefits
• Can support the owner to a knowledge of estimated LCC during project design. • Focus on determining the value of projects as a financial evaluation tool for alternatives to the project to contribute to decision-making. • Improving awareness of the total cost of the project.

Challenges
Difficulty integrating design models with building information modelling (BIM) with LCC adoption.

Reference No The Description
Article Title

BIM-Based Life Cycle Assessment of Buildings-An Investigation of Industry Practice and Needs Article Focus:
To investigate the needs for integration of BIM and LCA through qualitative interview with experts from companies who performed LCA in their building projects.

•
The study adopted three design proposals that targeted three 30, 50 and 100 years of service lives based on the life cycle and the actual cases.

•
In the 30 years design, a traditional building design was adopted, for the 50 years design a semi-open design was adopted while the 100 years project adopted an open design system.

•
The BIM was used to conduct simulations related to renovation benefits in the different proposals.

Benefits
• BIM proved to be an essential tool for simulating the future renovations, usage and maintenance of buildings.

•
The BIM provides a decision support system that can help in optimizing the benefits and cost of renovation.

•
The BIM can help in improving the building service life through reasonable estimations of benefits and costs. • Helps in achieving lower LCC compared to traditional systems.

Article Title
Implementing life-cycle costing: Data integration between design models and cost calculations Article Focus: This study seeks to build, test, and summarize the lessons acquired from integrating data amongst autonomous software packages linked to design models, cost calculations, and cost databases in order to provide LCC assessments.

Methodology
The researchers followed a comprehensive methodology where they started with a literature review followed by interviews. The insights that were obtained from the; literature review and interviews were later used to develop tools that could help in developing link design models and cost databases for the entire building.

Benefits
• BIM proved to be an effective method that can enhance productivity and collaboration in sustainable building. • BIM presented a unique approach that can help in the collection of data that could help in achieving sustainability of the buildings. • BIM enhances flexibility and innovation that can help in transformation of buildings.

Challenges
• BIM standards have not been harmonized for models and this is one factor that affects the integration and management of the different stakeholders.

•
There are several formats of data exchange which affects the standardization. [38]

Reference No The Description
Article Title BIM application to select appropriate design alternative with consideration of LCA and LCCA Article Focus: LCCA and LCA can be enhanced through the development of an approach based on 3D parametric BIM.

Methodology
• The researchers utilized a multistep methodology where they started by conducting a literature review.

•
In the second step, a data analysis of LCA and LCCA that was collected in the initial set up was conducted.

•
The third step was the application of the BIM to provide key information related to LCA and LCCA.

•
In the fourth stage a case study was conducted and the BIM model was applied to a real building.

•
The BIM helped in easier calculation of LCA and LCCA. It took less time to conduct the BIM for the three alternatives and therefore BIM proved to be the best method of solving LCA and LCCA related issues.

•
The BIM is an efficient quality calculator that is compatible with other software. • Relevant information is provided immediately at the initial stages.

•
The BIM did not provide information related to fuel consumption. Missing data undermines the reliability and accuracy of the results provided by the BIM • There was no BIM library that could help engineers to gather the required information quickly. [39]

Outcome
The findings divided into four subcategories namely, the methodology used in BIM and LCC studies, the software design used in BIM adoption, the benefits of BIM on LCC, and the challenges in adopting BIM on LCC.

Methodology in Studies of BIM and LCC
The methodology proposed or conducted for studying the integration of Building Information Modelling (BIM) and Life Cycle Cost (LCC) varies depending on the objective of the study. Liu et al. [22] developed a BIM-oriented multi-objective optimization model with the integration of the data Ecotect [41], the software that guided the analysis via MOPSO. The multi-objective algorithm enabled an optimal design scheme. Separately, Kehily and Underwood [23] attempted to embed the Life Cycle Costing (LCC) in the 5D BIM environment platform. They present a case study where an extension in 5D BIM process embedded the LCC cost-estimation structure into 5D BIM, which is known as CostX [45]. CostX allows a quick and accurate take off quantities from 2D drawings and BIM models. The LCC calculations feed into CostX through the Workbook. This process enables a link between Quantity Surveying's cost plans or their Bill of Quantities and their LCC calculations in an integrated BIM environment.
In an alternative to CostX application, Marzouk et al. [5] proposed an integrated BIM framework to predict LCC with two model techniques namely, a Genetic Algorithm Optimization and a Monte Carlo Simulation. In that study, the BIM-based Autodesk Revit enabled to export data of materials, e.g., concrete, painting, plastering, flooring, etc into the Monte Carlo simulation model. Then, LCC ran through the model and the Optimization model utilising Genetic Algorithms (GA) i.e., through retrieval of the fitness function from the simulation model. The model finally selects the optimum building materials scenarios that minimise the LCC of building materials.
Santos et al. [24] discussed a case study of BIM-based life cycle assessment and Life Cycle Costing (LCC) of an office building in Western Europe. They adopted a six-step process being the first step the merging of architectural and structural design components into a single BIM master model. In a second phase, the information of the BIM model was analysed through an exported list. The third step was to check the exported list for identifying noise (presence of duplicates). During a fourth step to the whole project homogenises so that the adopted LCC tools can read and manipulate the bill of quantities. The fifth step was to add the environmental, economic, and mechanical information in the projects through the creation of an XLS spreadsheet list that covers all the elements and materials in the project, and the final step was to conduct a Streamlined and Complete LCC analysis of the project.
In a separate case study, Raposo et al. [25] focused on the analysis the costs and environmental impacts of a reinforced concrete precast industrial building through the adoption of BIM and Life Cycle Analysis (LCA) along with LCC conducting the cost estimation. Their methodology departs from the creation of a BIM prototype, which is then subject of a LCA analysis conducted through pre-defined goal and scope. With this in hand, they proceed to complete the inventory and environmental impact assessment of each construction scenario. As part of its LCC calculation, the study considers the costs of construction and demolition for a new building with a 50-year horizon, assuming seismic reinforcement and demolition of precast elements of the existing building were accounted for a 20-year lifetime.
Following their Western Europe case study, Santos et al. [6] proposed BIMEELCA, known as BIM-based Environmental and Economic Life Cycle Assessment tool, for integrating BIM and LCC. BIMEELCA developed through the automatic creation of shared parameters that correspond to an environmental impact category and acquisition cost that underpins the LCC analysis. The controlling parameters allow users to visualise a dialogue window containing information on materials relevant to the model, where they can select functional units to run the environmental and economic assessment for the whole model or discretised components. This thus therefore allows calculating a complete LCC analysis considering all relevant variables.
A parallel study by Lee et al. [26] proposed a BIM-integrated method oriented to support the decision-making process in the early design phase. They developed four threads of estimating LCC within the BIM environment: Firstly, by linking the BIM model information with the BIM-based project preliminary estimate prototype aiming to extract basic information of the project. Secondly through forming a database to record performance costs and reference data, which defines pre-estimation algorithm. The third pathway uses a System Linkage that connects system environments produced in the previous two stages. The final thread allows building scenarios for which cost and standard data can be estimated. The algorithm thus equips designers BIM-LCC interactions for scrutinising design alternatives and total construction costs.
The same year, Le et al. [27] developed a BIM-Integrated Relational Database Management System for Evaluating Building Life-Cycle Costs (LCC) through two interrelated modules: (1) the Relational Database Management Module, and (2) the Visualised BIM-Integrated Module. They both provide data to build LCC analyses by systematically compiling, organizing, storing, and retrieving them. Barbini et al. [28] observed that this and similar studies manage to integrate BIM and LCC through 3 generic steps: First they use software such as SimaPro [46], CostLab [47], Excel etc to conduct LCC calculations. Second, connect the BIM model to generate the LCC database, and the third one is the direct integration of LCC data into the BIM model.
In a case study for a residential building in Ghana, Ansah et al. [29] designed an akin integrated framework of BIM and LCC/LCA to perform comparative analysis of four different facades systems. Their methodology also departs from the creation of a BIM model in Autodesk Revit [40], which they personalised to a case building constructed in conventional Concrete Block and Mortar Facade (CBMF). Following, separate BIM models were developed for three other facades types ( Building on previous studies, Rad et al. [30] developed a separate tool to merge BIM with LCC/LCA. here again Autodesk Revit was used to develop a BIM-LCCA plug-in provided with outputs for each section separation. The information required for the LCC estimation thus feeds into the BIM tool but allowing the data to be transferred to an external database. Similarly, but tailored to an early design stage as case for study, Zhuang et al. [31] developed a Performance Integrated BIM (P-BIM) Framework for building energy efficiency and environmental optimization. The P-BIM applies the 3 steps with the corresponding layers of carriers: Autodesk Revit, MySQL [49], and Rhino Inside [50]. Rhino calculates the initial cost for various types of the construction alternatives. Those results facilitate a three-legged LCC index that includes the Initial Cost, the Operation Cost, the Replacement Cost, and the System Cost.
Finally for the present review, Lu et al. [32] analysed a plethora of publications liked to novel interphases between BIM and LCC/LCA. They found that three perspectives for the integration of BIM into LCC and LCA. First is to use the existing BIM software to obtain Bills of Quantities (BoQ) and other data. The second focused on the use external software platforms to import data from and to the BIM model, and the third devoted to build relevant data for LCC/LCA within the BIM model itself.

Design Software Used in BIM Adoption
As discussed in previous sections Autodesk Revit revealed as the most efficient software to develop BIM interactions. Several consulted publications [5,6,[23][24][25][26][27][29][30][31]33,34,37,38,[51][52][53] adopted Autodesk Revit to work out BIM environments and interconnections with LCC, either internally or through external programmes. The reason appears to be that Revit is capable to combine fundamental disciplines (Architecture, Engineering, and Construction) into one unified modelling environment for enhanced efficient and costeffective construction projects. For additional information, see Table 4. Past the discussion of BIM-LCC developments presented in previous sections, we now review some identified benefits reported by BIM users.

Benefits from the Application of BIM and LCC
Liu et al. [22] found advantages in using of BIM for the estimation of the maintenance costs at the initial stages of the project, for it can help designers to meets multiple sustainability requirements. Later on, Kehily and Underwood [23] highlighted that 5D BIM software is capable to perform standard BIM functionalities as well as to execute additional tasks through Revit. Today, 5D BIM is identified as a platform that provides all the necessary conditions in the LCC analysis. The utilisation of BIM on LCC was appears on a relatively early report by Marzouk et al. [5]. They stated that the integration of BIM with the Monte Carlo Simulation and the Optimization Modelling could help decision makers in selecting environmentally friendly building materials while fulfilling economic sustainability.
Santos et al. [33] discussed the benefits of developing BIM-LCC interactions while allowing integrating LCC external database, for cost-analysis completion within the BIM platform. They reiterated that coupling BIM-LCC helps to promote sustainability-related methodologies to be executed in the early stage of a project, hence takin on-board green materials and products that could guarantee the remaining service life of the building. In a separate study, Santos et al. [6] developed BIMEELCA, a tool that allows users to insert information within a BIM model to run an LCC analysis. This tool also enables the import and export of information from external spreadsheets, thus leading up to the automatic Streamlined LCC analysis.
Lee et al. [26] highlighted that implementing BIM in the construction flow of project provides decision-makers with accurate preliminary cost estimation over design alternatives. In this way, project cost can be reduced and its value can be increased. A similar point was stressed by Sharif and Hammad [34], who identify BIM as the optimum platform for leading building renovation and structural interventions to then reduce cradle-to-grave environmental impacts. that the consulted materials also verified that the computing timescales associated to LCC also reduced through the integration of BIM [27].
In a separate report Barbini et al. [28] highlight the integration of BIM-LCC as a mean to optimise environmental and economic performance of buildings, reduce transaction time, increase productivity, transparency, and enhance sustainability. Similarly, Ansah et al. [29] found the BIM-LCC integration useful for quantifying benefit of using façade systems that lower environmental impacts. Those statements were later reinforced by Zhuang et al. [31], Lu et al. [32], amongst others, who mentioned benefits aligned with current sustainability trends and policies through the integration of P-BIM that links local supply chains and early-or mid-stage projects for the enhancement of architectural (designer's) control of the project Life Cycle.

Challenges in the Study of BIM and LCC
Researchers underlined various challenges when implementing BIM-LCC integrations. Kehily and Underwood [23] pointed out the lack of standardisation of LCC cost estimation methods, which could explain clients' reluctance to integrating LCC into formal projects. The lack of uniformity could derive that each project requires different input data in terms of materials, processed, and timelines, to run a LCC, hence a generic database does not actually exist [24]. This point was stresses by Lee et al. [26] when stating that full characterisation of a building type is difficult achieve from a semi-empirical database. Cost criteria aligned with government's standards often lead to limited scope for classification, which induces difficulties in competing a LCC estimation.
Le et al. [27] highlighted further challenges when implementing BIM in a LCC analysis. They cited issues with unstructured and uncommon data format, lack of interoperability among different tools, segregation of standards, calculation methods, and interoperable technologies. Zakaria et al. [35] supported the notion by reporting similar complexities when trying to integrate design models into BIM with full adoption of LCC.
More recently, Zimmermann et al. [36] identified seven constraints facing industrialists when implementing BIM into LCC. These are: inadequate building-model administration for a collaborative process, workflow errors and a lack of consistency in the workflow and modeling errors, Data quality and availability lacking in model control tools for supervising models, errors in the modelling process as a result, ways to quantify variations in models structure over time, problems with data exchange and matching model data with LCA data, and lastly, the need to undertake manual workflow that derive in extended time-scales. The complication in the process of project workflow was stressed by Lu et al. [32]. They identified challenges in managing BIM-LCC related information that result from data collection involving various stakeholders. Those interactions have a knock effect on every stakeholder's workflow. All the above currently imposes challenges that limit the full integration of BIM and LCC, that prevent a fast efficient simulation of design, operation, and demolition stages.

Discussion and Final Remarks
The current frameworks for merging BIM and LCC require dynamic interactions between internal and external databases. [25][26][27]29,33], amongst others, have reported the creation of an interphase between a BIM database in which LCC integrates. Similar works have been reported by [5,23,32], who also managed to bring into BIM external data. The development of Autodesk Revit revealed a turning point in this process, given its ample capabilities to feed physical properties and measurements into an user-friendly BIM design environment. This tool has since been adopted by industrialists and researchers, see for example [5,6,[23][24][25][26][27][29][30][31][32]34,37,38]. They all report studies on BIM, LCC, and the use of Revit.
Amongst the benefits of creating BIM-LCC interactions is the scope created for decision makers to select building materials that are sustainable [23,24,28,29]. This identifies changing trends to fixed design process in which material selection based on limited information constrained the potential for the sustainable design [31]. Other benefits of BIM-LCC extend across project costs and values as highlighted by [26,27]. For example, environmental and economic performance of buildings can be optimized, transaction time can be reduced, whereas productivity and transparency can be enhanced through the adopting of BIM-LCC frameworks [28]. BIM-LCC also enables urban developers to quantify environmental impact and partial cost early in the design stage thus enabling higher control over the project [31,32]. Noting that decisions made in the early design stage do establish directives for the entire project period [26].
The most notable challenges cited by authors who studied BIM and LCC integration come down to unsuitable or limited data in a project database which hinders BIM and LCC modelling [23,24,26,36]. There are also concern on the capabilities of the BIM application to effectively perform LCC analysis [27,35]. Lu et al. [32] also highlighted a major challenge when trying to integrate and standardise information collected from various stakeholders, as each of these uses and applies their own tools and workflow.
The above highlights BIM-LCC integration benefits and challenges that define future research avenues for optimising methodologies and further developing digital tools.

Conclusions
Sustainability is an important indicator for construction projects as it promotes the development of the built environment without damaging environment and with minimum contribution to the greenhouse phenomenon. Through BIM-LCC integration, decision makers in construction project are able to determine the type of building materials that are sustainable. This is important in promoting sustainability of the constructed buildings or facilities or infrastructure. However, the Most prevalent challenge is the data integration between BIM and LCC in project database. In addition, a BIM and LCC integration is essential for understanding estimated building costs. There have been significant research contributions to the integration of LCC into BIM. Despite this, BIM occasionally finds problems with data integration and the presentation of various data types. In order to integrate the applications, it is necessary to develop software that links BIM models with LCC analysis models and creates one database from numerous simulation tools that can be implemented into simulation software. To this end, the present paper could be considered as a contribution towards a systematic review on the BIM adoption to LCC. Four several review aspects have been considered as follows: Methodology, Design-Software, Benefits, and Challenges. Thus, this paper aims to contribute to the review perspective of the current trends related to the BIM adoption on LCC. Data Availability Statement: This study was conducted using data sets and analyses that are reasonably accessible to the corresponding author.
Acknowledgments: The first author wishes to express his gratitude to the Saudi Arabian Ministry of Education for generously funding his research and a PhD study at the University of Birmingham. The third author wishes to express his appreciation for the Alexander von Humboldt Stiftung ongoing support of his research endeavours.

Conflicts of Interest:
The authors declare no conflict of interest.