Facility Energy Management Application of HBIM for Historical Low-Carbon Communities: Design, Modelling and Operation Control of Geothermal Energy Retroﬁt in a Real Italian Case Study

: The highest challenge of energy e ﬃ ciency of building stock is achieving improved performance in existing buildings and, especially, in heritage buildings which per se are characterized by massive limitations against the implementation of the most sophisticated solutions for energy saving. In Italy, historical buildings represent more than 30% of the building stock and the vast majority require energy retroﬁt, while ensuring the preservation of the heritage value and acceptable comfort conditions. In this context, historical buildings must be retroﬁtted and re-functioned by introducing innovative technologies aimed at reducing energy consumption and improving human comfort, health, and safety. To this aim, this study implements the Historic Building Information Modeling (HBIM) approach for the integrated modeling, monitoring, management, and maintenance of a novel geothermal system involving horizontal ground source heat exchangers (GHEXs) coupled to an adsorption heat pump for the energy refurbishment of historical buildings. In detail, a rural building part of a medieval complex in Perugia, Central Italy, is considered as a pilot case study. The analysis stresses the potential of the Facility Management (FM) applications of HBIM to provide a tool for the human-centric operational management control of the building energy performance and indoor comfort when combined with the building monitoring and supervision system. Therefore, this integrated HBIM approach may drive the path towards the user-centric re-functioning of heritage buildings. and C.P.; methodology, A.L.P., A.G., C.P. and J.R.; software, A.G.; validation, A.G., C.P. and J.R.; formal analysis, C.P.; investigation, J.R., A.G., A.L.P. and C.P.; resources, A.L.P.; data curation, A.G., C.P. and J.R.; writing—original preparation, and writing—review and editing,

buildings. Nevertheless, the existing literature lacks practical examples using BIM in the operation and maintenance phase of heritage sites. Hull and Ewart [20] stated that the successful implementation of heritage asset management is held back by socio-technical dimensions and the need to align working practices within the heritage sector to the BIM philosophy. For instance, Charlton et al. [21] developed an asset information model to improve the management of a UNESCO World Heritage Site in the UK. They highlighted the importance of providing information that is unique to historical buildings to implement the HBIM approach. On the other hand, Rodrigues et al. [22] stressed the role of BIM for Building Life Cycle maintenance and the associated potential improvement of building maintenance plans. HBIM is mainly used for the geometric modelling of historic fabric and is suitable for application in renovation and conservation projects [23]. Garavaglia et al. [24] developed a procedure for visual identification through the BIM of vulnerable elements toward seismic action in existing buildings integrating the structural safety with the energy-related information modelling [25]. Colucci et al. [26], instead, integrated an HBIM model within a 3D Geographic Information System (GIS) environment to provide comprehensive documentation for the protection and conservation of heritage sites particularly exposed to damage risks. A further step towards the evolution of HBIM for the management of built infrastructures is the Digital Twin model, i.e., the digital representation and simulation in real-time of real infrastructures using BIM [27]. This tool, indeed, allows collaborative data management to support the preventive conservation of heritage sites [28].
In this respect, the present study involves the energy efficiency retrofit of an historical building thanks to the implementation of a tailored renewable energy system. In detail, a novel geothermal system is designed and integrated methods of monitoring, management, and maintenance in historical buildings are explored implementing the HBIM approach. This research study is carried out within the framework of the GEOFIT Horizon 2020 (H2020) project [29] that stands for "Deployment of novel geothermal systems, technologies and tools for energy efficient building retrofitting". The project, indeed, is an Innovation Action funded by the H2020 program of the European Union that will develop and deploy cost-effective enhanced geothermal systems predominantly for the energy retrofit of buildings, including heritage buildings [30]. To integrate these novel systems in energy efficient building retrofitting, a construction process involving a suite of tools and technologies will be established and validated in five demonstration sites in four countries with varying climactic conditions, soil types, and building typologies. This research study deals with the heritage pilot case study, which is a rural offshore historical buildings' energy community in central Italy. Therefore, building upon a previous contribution [15] that presented the HBIM procedure and the preliminary feasibility analysis of the implementation of a standard ground source heat pump (GSHP) system in this historical complex, this study presents the innovative horizontal ground source heat exchangers (GHEXs) that will be actually implemented in the building coupled with an adsorption heat pump. Furthermore, the purpose of the present work is to explore the operational management control of the historical building based on real monitored data by implementing the FM platform thanks to the BIM MEP modeling of the building-plant system. However, this work only provides a theoretical insight on this advance that will be actually implemented and validated when the pilot case study is completed.

Methods
In this work, an operational management control of a real historical buildings communityserved by a GSHP system is conceived, designed, modeled, and implemented. Therefore, the integrated approach involves multiple disciplines. Starting from the HBIM architectural model of the case study building, the MEP model work settings are evolved, using the same reference systems. The HBIM MEP model makes it possible to export data from the abacus of the building systems included in the model, to describe them with all their characteristics, and to create a complete and updated database. On the one hand, these data combined with site monitoring data allow to check the building operation and keep possible anomalies under control, with quick identification of malfunctions and related maintenance to be carried out. On the other hand, this technology allows the control and provision of Energies 2020, 13, 6338 4 of 18 appropriate indoor comfort conditions for the occupants of the building, seen as key component of the building system and, therefore, with the important requirement of being monitored in terms of environmental quality and occupancy. The BIM interoperability, indeed, allows the implementation of different working platforms for modelling, monitoring, and maintenance operations. In this framework, a novel useful integrated method for better managing and controlling thermal-energy performance and indoor comfort of new and existing buildings is here presented and applied to an historical energy and architectural community case study with renewable energy integration.

Case Study
The case study represents an energy community of historical buildings as an offshore rural complex of Sant'Apollinare fortress in Marsciano constructed in the Middle Ages in Italy. The stable in particular was built in the second half of the XIX century near Perugia (close to Rome) together with the cereals' drying building ( Figure 1). The specific case study building, such as the whole complex of the stable and the drying room with the whole energy system, was recently retrofitted through seismic upgrading and energy requalification ( Figure 2). Thereafter, its end-use changed: it currently hosts university offices and labs within the topic of energy and sustainable development. Therefore, it is occupied mainly during week days with typical office working hours, i.e., from about 9:00 a.m. to about 6:00 p.m.
The case study represents an energy community of historical buildings as an offshore rural complex of Sant'Apollinare fortress in Marsciano constructed in the Middle Ages in Italy. The stable in particular was built in the second half of the XIX century near Perugia (close to Rome) together with the cereals' drying building ( Figure 1). The specific case study building, such as the whole complex of the stable and the drying room with the whole energy system, was recently retrofitted through seismic upgrading and energy requalification ( Figure 2). Thereafter, its end-use changed: it currently hosts university offices and labs within the topic of energy and sustainable development. Therefore, it is occupied mainly during week days with typical office working hours, i.e., from about 9:00 a.m. to about 6:00 p.m.
The building presents three floors, i.e., a basement and two floors above the ground. The original structure consists of load-bearing stone masonry with sandstone elements bound with mortar and with brick additions in the corners, in the sills of windows, doors and in the columns. During building renovation, wall insulation made of recycled cork panels was applied to contain the thermal exchange of the heated volume with the outdoors (U-value equal to 0.36 W/m 2 K). In addition, windows were replaced using better performing double pane glasses (U-value equal to 1.317 W/m 2 K). In order to preserve and enhance the architectural and historical valence of the building, a set of non-invasive and reversible retrofit interventions for energy efficiency were implemented [31]. Furthermore, the building was equipped with a system of facilities able to ensure environmental comfort. Separate control systems were implemented in each area to allow autonomous management in terms of operation schedules and air temperature inside the rooms in addition to activation only where and when needed. The terminals consist of under-floor radiant panels, which were arranged for both heating and cooling, and radiators in the toilets. However, the building is currently served only by the heating system since the cooling need is typically faced through passive techniques. Finally, the control of indoor air relative humidity and air quality is ensured by mechanical ventilation with heat recovery.  As a result of the recent interventions, the case study building is the very first building certified by means of the LEED (Leadership in Energy and Environmental Design)-consistent protocol Green Building Council Historic Building™ (GBC HB) [32] in the world, for the restoration and sustainable redevelopment of historic buildings. It was awarded the Gold Certification. This type of  The building presents three floors, i.e., a basement and two floors above the ground. The original structure consists of load-bearing stone masonry with sandstone elements bound with mortar and with brick additions in the corners, in the sills of windows, doors and in the columns. During building renovation, wall insulation made of recycled cork panels was applied to contain the thermal exchange of the heated volume with the outdoors (U-value equal to 0.36 W/m 2 K). In addition, windows were replaced using better performing double pane glasses (U-value equal to 1.317 W/m 2 K). In order to preserve and enhance the architectural and historical valence of the building, a set of non-invasive and reversible retrofit interventions for energy efficiency were implemented [31]. Furthermore, the building was equipped with a system of facilities able to ensure environmental comfort. Separate control systems were implemented in each area to allow autonomous management in terms of operation schedules and air temperature inside the rooms in addition to activation only where and when needed. The terminals consist of under-floor radiant panels, which were arranged for both heating and cooling, and radiators in the toilets. However, the building is currently served only by the heating system since the cooling need is typically faced through passive techniques. Finally, the control of indoor air relative humidity and air quality is ensured by mechanical ventilation with heat recovery.
As a result of the recent interventions, the case study building is the very first building certified by means of the LEED (Leadership in Energy and Environmental Design)-consistent protocol Green Building Council Historic Building™ (GBC HB) [32] in the world, for the restoration and sustainable redevelopment of historic buildings. It was awarded the Gold Certification. This type of environmental certification represents a key tool for improving energy efficiency, environmental quality, rational use of resources, and design innovation, together preserving cultural value, allowing greater transparency on energy uses and environmental management in buildings.

HBIM Model for Energy Systems
In order to implement a multidisciplinary and integrated approach, the model of the case study building is developed in the BIM design authoring platform Revit (Autodesk) [33]. This procedure, although rather complex, allowing the creation of the architectural model ( Figure 3) and the MEP model ( Figure 4) in the same platform. In the parametric 3D models, the technical characteristics of building components and systems are embedded in the geometry. Therefore, the files of the different models are linked together, using the manage section and the manage links command, since they are set using the same reference system with fixed coordinates. Moreover, elements' initial costs can be included in the model and, thereafter, updated with operating and maintenance costs during the operation phase for building cost analysis. A limitation of this procedure concerning the modelling of existing buildings is that it is not always possible to retrieve all the detailed information needed as input for the model, especially in historical buildings. In fact, the optimal functioning of the model requires a continuous update according to building evolution. The HBIM architectural model reproduces every architectural component of the building, including tailored historical elements. In fact, ad hoc components are modelled starting from the existing families in the Revit library to detail the specific building elements [15]. The as-built model is created by modelling each element with the correct stratigraphy of the construction package.
As for the MEP model, given the detailed information included in the model, different sub-models were created for each component, i.e., the hydraulic model, the Heating, Ventilation and Air Conditioning (HVAC) model, and the electric model. These sub-models interact using the same reference system of coordinates and overlap to ensure the required accuracy. The first step of the procedure to develop the MEP model is to import the graphic information and the data of the elements for each system. Therefore, the logical system of each plant is modeled. Given the lack of details on the elevation and location of the elements, an in situ inspection is carried out to allow the identification of vertical shafts and ceilings where to place the systems. set using the same reference system with fixed coordinates. Moreover, elements' initial costs can be included in the model and, thereafter, updated with operating and maintenance costs during the operation phase for building cost analysis. A limitation of this procedure concerning the modelling of existing buildings is that it is not always possible to retrieve all the detailed information needed as input for the model, especially in historical buildings. In fact, the optimal functioning of the model requires a continuous update according to building evolution.   The HBIM architectural model reproduces every architectural component of the building, including tailored historical elements. In fact, ad hoc components are modelled starting from the existing families in the Revit library to detail the specific building elements [15]. The as-built model is created by modelling each element with the correct stratigraphy of the construction package.
As for the MEP model, given the detailed information included in the model, different submodels were created for each component, i.e., the hydraulic model, the Heating, Ventilation and Air Conditioning (HVAC) model, and the electric model. These sub-models interact using the same reference system of coordinates and overlap to ensure the required accuracy. The first step of the procedure to develop the MEP model is to import the graphic information and the data of the elements for each system. Therefore, the logical system of each plant is modeled. Given the lack of details on the elevation and location of the elements, an in situ inspection is carried out to allow the identification of vertical shafts and ceilings where to place the systems.
The hydraulic model is split into two additional sub-models: the circuit of domestic hot water (DHW) and the exhaust pipes. The data of these plants are translated into the model by assigning piping systems materials, dimensions, and spatial location. For exhaust pipes, the minimum gradients and angular inclinations of the connections between the pipe sections required by the reference standard [34] are considered. The DHW circuit is modeled starting from the positioning of the sanitary systems. Moreover, the electric model is composed of two sub-models: electric power and lighting. For these systems, due to the lack of design information, a reverse analysis is carried The hydraulic model is split into two additional sub-models: the circuit of domestic hot water (DHW) and the exhaust pipes. The data of these plants are translated into the model by assigning piping systems materials, dimensions, and spatial location. For exhaust pipes, the minimum gradients and angular inclinations of the connections between the pipe sections required by the reference standard [34] are considered. The DHW circuit is modeled starting from the positioning of the sanitary systems. Moreover, the electric model is composed of two sub-models: electric power and lighting. For these systems, due to the lack of design information, a reverse analysis is carried out by tracing the paths of the cable entry channels based on the location of plant terminals and lighting equipment. The HVAC model is the most complex because the building is served by an on-site district heating system that was integrated with the innovative geothermal system. The existing configuration is updated to correctly connect the newly added GSHP supply system to the existing under-floor radiant system to provide hot water for heating and fresh water for cooling, working in parallel to the mechanical ventilation.

HVAC and Geothermal System Model
The recent refurbishment of the case study building concerned specifically its passive performance. Therefore, to achieve overall high energy performance, the present retrofit focus on the HVAC system. Moreover, the building is not currently provided with a cooling system, which is becoming increasingly important due to global warming [35]. Therefore, to preserve the historical value of the building, while guaranteeing occupants' thermal comfort during the whole year, a non-invasive renewable energy HVAC system is designed to optimally interact with the pre-existent plant without additional architectural works. The system exploits the geothermal renewable energy source and involves innovative horizontal slinky type GHEXs coupled with an adsorption heat pump able to provide both heating and cooling. Slinky GHEXs are an advanced type of shape for horizontal shallow heat exchanges provide improved heat transfer efficiency. Slinky or spiral GHEXs, indeed, are laid flat at the bottom of trenches and allow to fit more piping into the same trench area. They are suitable especially when the land area available is limited [36]. Although the system is designed with building historical value preservation as primary scope, the preliminary analysis of operating cost reduction when implementing a GSHP system in the case study building with respect to a traditional system is discussed in [15].
Slinky type heat exchangers are positioned at low depth (about 2 m) in the ground lying flat in loops and using a sandwich configuration for housing the probes in the ground, as depicted in Figure 5. Loops are placed overlapping at half of their diameter in five trenches about 2 m wide and 30 m long, backfilled with in-situ sediment or with primarily sandy sediment ( Figure 6). A closed-loop system is implemented where the heat is intercepted from the ground by means of a continuous underground pipe with inside water admixture with a refrigerant fluid (glycol) kept at low temperature and pressurized. They are arranged using trench excavations, which are non-invasive and allow controlling the seismic risk of the area. Although their efficiency is still lower than that of the vertical heat exchangers, these novel GHEXs, indeed, enable the implementation of geothermal systems when drilling is too operatively difficult or expensive.
The ground source heat pump is a hybrid heat pump associated with a water tank for thermal energy storage connected to the existing low-temperature radiant system and the air handling unit. These systems will be allocated in the existing technical room in the basement of the building, which already hosts the existing generator. The hybrid heat pump consists of three main components: a gas boiler, an adsorption unit, and a vapor compression unit. The gas boiler combined with the adsorption unit represent a gas-driven heat pump, as shown in Figure 7, since the boiler is operated as heat source to drive the adsorption cycle, which exploits the heat pumping effect to achieve high Seasonal Gas Utilization Efficiency (SGUE). Therefore, the gas-driven heat pump is coupled to the compression unit, i.e., chiller, which is employed to provide space cooling during summer. The previously mentioned GHEXs represent the heat source/sink for the operation of the overall system both in winter and summer. The novelty of this hybrid adsorption heat pump consists of making use of a gas boiler as heat source.         For the integration of the novel HVAC system within the existing plant, the existing boiler will be maintained as backup unit. DHW will be provided by the new system thanks to the installation of a new boiler with standard heat power (up to 24 kW) connected to the absorption machine. The designed hydraulic scheme is depicted in Figure 8.

Indoor Microclimate Monitoring
For controlled maintenance and thermal-energy performance management, different microclimate and energy monitoring systems are designed and installed in the building. The monitoring setup involves indoor and outdoor environmental monitoring, electrical and mechanical components control, and energy consumption monitoring. The parameters to be measured are selected by considering the HVAC system design and the end-use of the building. In particular, the following aspects are evaluated: • energy needs: heating, cooling, ventilation, lighting, equipment; • energy consumption sources: gas, electricity; • main indoor multi-physical comfort-related parameters; • main outdoor weather parameters. Table 1 summarizes all the parameters monitored in the building and the main technical characteristics of the monitoring system components. In detail, two main monitoring systems are installed in the building: (i) a centralized system permanently integrated in the building grid that serves the whole building and (ii) a portable non-invasive monitoring station that is installed in one office room in the building for the purpose of the project. In the pilot case study, this office room is considered to assess the monitoring system performance.  The preliminary design of the geothermal system is carried out considering set-point temperatures for heating and cooling equal to 21 • C and 25 • C, respectively, based on the indoor thermal comfort standard [37]. Thesupply water temperature is equal to 35 • C for heating and 18 • C for cooling. The heat transfer coefficient considered is 11 W/m K for heating and 7 W/m K for cooling as suggested in [38]. Based on these results, the designed heat pump system power is 10 kW. The minimum and maximum temperatures expected in the GHEXs for the slinky configuration are 7.9 • C and 25.3 • C, respectively, considering the existing type of soil type of soil and the length, diameter, and depth of installation of the probes.

Indoor Microclimate Monitoring
For controlled maintenance and thermal-energy performance management, different microclimate and energy monitoring systems are designed and installed in the building. The monitoring setup involves indoor and outdoor environmental monitoring, electrical and mechanical components control, and energy consumption monitoring. The parameters to be measured are selected by considering the HVAC system design and the end-use of the building. In particular, the following aspects are evaluated: • energy needs: heating, cooling, ventilation, lighting, equipment; • energy consumption sources: gas, electricity; • main indoor multi-physical comfort-related parameters; • main outdoor weather parameters. Table 1 summarizes all the parameters monitored in the building and the main technical characteristics of the monitoring system components. In detail, two main monitoring systems are installed in the building: (i) a centralized system permanently integrated in the building grid that serves the whole building and (ii) a portable non-invasive monitoring station that is installed in one office room in the building for the purpose of the project. In the pilot case study, this office room is considered to assess the monitoring system performance.

Operation and Maintenance Field Analysis and Control
The use of BIM allows the combination of geometric information and technical characteristics for each element of the building in a single design and management tool starting from the early stages of the process. Therefore, it is possible to interrogate the model and obtain information about its elements, such as type, manufacturer, etc. In this framework, the facility management (FM) exploits the knowledge of the elements designed and installed in the building available in the BIM model. Once the geometric modeling is completed, the model is populated by inserting technical information useful to develop a digital maintenance and control plan for the building. In the model, the data are entered using project parameters, predefined or created by the user. Among the different types of parameters available, project parameters are selected since they are containers of information, specific to the single project. Thereafter, the way in which each parameter interacts with the objects is selected among the two available: "type parameter" (used for elements belonging to the same category with one or more differences) or "instance parameters" (used for the single element belonging to a type). The parameters are assigned to all the elements in the model and grouped into a single section for easier data management. Once all the required information is included, the data are extrapolated from the model to develop exhaustive information sheets in .xls format for each element. In this way, information is made accessible to every stakeholder, from the end-user to the maintainer, while allowing its modification only to those who know how to operate in the BIM model. This approach saves time, limits data losses, and ensures the proper functioning of the structure. Therefore, the FM sheets constitute the monitoring and evaluation plan for building control and maintenance and allow intervention before the failure of any system in the building. They have a two-fold purpose: (i) the maintenance of the building systems by controlling the proper operation and (ii) the control of the internal conditions in the building according to the external conditions and the comfort of occupants. To this aim, information is gathered via the above-mentioned monitoring system, which, indeed, collects the data from the sensors and transmits them in real-time on a tailored online platform that acts as an intermediary between the monitoring systems and the FM sheets (timing is setup according to the system typology and urgency of the reaction). Thereafter, this data storage platform, through asynchronous transmission, exports the monitored data to the sheets that are automatically updated. The platform will be fully developed in detail with the implementation of the approach in the real pilot case study. To this aim, a current limit of this approach to be refined concerns the optimization of the interoperability between the platform processing the monitored data and the alerts sent by means of the collected sheets, which will be made automatically. In addition, the integration of the alert system on personal devices will make the process user-friendly and more easily operable by building users and professionals.
Maintenance dedicated sheet is then created for each element for the system maintenance. First, the elements are divided into an open hierarchical scheme and each is assigned a code allowing a streamlined organization of the documents. The sheets contain an initial part reporting the identification data of the element and a second part collecting the information useful for maintenance, i.e., element operation, from the monitoring system. The data in the first part are automatically extrapolated from the BIM model with a specific algorithm. For this aim, all the elements in the model have to be grouped by technological unit and categorized in internal schedules. In this way, it is possible to identify and extrapolate only the necessary information for the sheet. Once the schedules are created, data are extracted through Dynamo, i.e., the internal graphical programming interface of Revit [31]. For the control of indoor comfort conditions, the monitored internal microclimate conditions and external weather conditions are considered. A single sheet collects all the parameters monitored in the building. For both maintenance and indoor environmental control, the imported monitored data are compared against a pre-defined range of acceptable conditions by tailored algorithms and an alarm is activated when there are operation anomalies or causes of discomfort requesting a technical intervention or an adjustment of the indoor conditions, respectively.

Improvements in the FM and Maintenance Procedure
As concerns the building systems maintenance task, the different sheets are identified by the pre-defined code and name of the element in question. Figure 9 shows the example maintenance sheet. The highlighted data in the sheet concern the data that are automatically imported from the BIM model. In detail, the sheets are organized as follows: • The initial part reports the code, the description of the element, the manufacturer, the date of installation, and the last maintenance.

•
The second part of the form concerns the maintenance activities. In particular, it includes, for each element, the minimum required levels of performance, the possible verifiable anomalies, the checks and maintenance to be performed, and the location of the technological unit within the building. This section is directly customized in the spreadsheet of each element, except for the amount and the location that are exported from the model.
For the FM of the systems, maintenance records are added to the standard maintenance sheet. The maintenance records are managed by the owner and the maintainer, who enter the data relating to each maintenance intervention adopted. They are also in .xls format. The information included in the records is the date, the name of the operator, and the code of the inspection/maintenance carried out. Moreover, the intervention is described and a letter is reported that expresses the extent of the intervention. The cost of the intervention can be also inputted to keep track of the operating and maintenance costs of the building.
The sheets are linked with the BIM model via a bidirectional relationship thanks to a tailored algorithm, as previously described. The link between the model and the worksheets allows all the stakeholders who take part in the maintenance activities to be able to modify the model in the BIM platform without having specific knowledge, license, or skills.

Human-Centric Operation in Historic Buildings
The availability and interoperability of monitored data for the case study building allows the preliminary evaluation of the microclimate indoor conditions. In particular, the measured main indoor parameters affecting users' thermal comfort and indoor air quality are assessed when compared against energy consumption. As previously mentioned, for the purpose of this study one representative office room is considered. Figures 10 and 11 show the trend of monitored indoor parameters with respect to the external weather conditions in the case study area and heating energy consumption in winter. In detail, the trend of indoor air temperature during the coldest week ( Figure 10) shows that during the occupied hours the building-plant system is able to maintain the expected thermal conditions, even if the heating system is turned on only during the first two week days. However, indoor air is found to be dryer than the comfortable values and not due to the influence of external boundary conditions, i.e., extremely humid outdoor conditions. Moreover, although CO2 concentration is kept within acceptable levels, it could be more effectively controlled to flatten the peaks during occupied areas, especially when the heating system is not operating.
On the contrary, in summer, indoor air temperature is higher than the advisable conditions during all days and hours of the selected hottest week (Figure 12). This finding stresses the need to equip the building with a cooling system to ensure thermally comfortable conditions for the workers also during summer. On the other hand, the mechanical ventilation appears to properly control

Human-Centric Operation in Historic Buildings
The availability and interoperability of monitored data for the case study building allows the preliminary evaluation of the microclimate indoor conditions. In particular, the measured main indoor parameters affecting users' thermal comfort and indoor air quality are assessed when compared against energy consumption. As previously mentioned, for the purpose of this study one representative office room is considered. Figures 10 and 11 show the trend of monitored indoor parameters with respect to the external weather conditions in the case study area and heating energy consumption in winter. In detail, the trend of indoor air temperature during the coldest week ( Figure 10) shows that during the occupied hours the building-plant system is able to maintain the expected thermal conditions, even if the heating system is turned on only during the first two week days. However, indoor air is found to be dryer than the comfortable values and not due to the influence of external boundary conditions, i.e., extremely humid outdoor conditions. Moreover, although CO 2 concentration is kept within acceptable levels, it could be more effectively controlled to flatten the peaks during occupied areas, especially when the heating system is not operating.
On the contrary, in summer, indoor air temperature is higher than the advisable conditions during all days and hours of the selected hottest week (Figure 12). This finding stresses the need to equip the building with a cooling system to ensure thermally comfortable conditions for the workers also Energies 2020, 13, 6338 13 of 18 during summer. On the other hand, the mechanical ventilation appears to properly control indoor air relative humidity ( Figure 13) even during non-occupied hours. The CO 2 concentration level values seem consistent with those collected in winter, although less occupancy-dependent.
Therefore, the analysis of monitored data stresses two main outcomes related the need to improve the operation of the current HVAC system towards the comfort of building occupants: • to involve the control of indoor microclimate conditions in summer; • more effective human-centered control of the indoor comfort-related parameters.
Building upon the preliminary assessment of the microclimate conditions inside the building, insights for the tailored human-centric operation of the building can be fostered. Nevertheless, the control system should take into consideration also the feedback from the users and not only objective parameters based on existing standards.
Energies 2020, 13, x FOR PEER REVIEW 13 of 18 indoor air relative humidity ( Figure 13) even during non-occupied hours. The CO2 concentration level values seem consistent with those collected in winter, although less occupancy-dependent. Therefore, the analysis of monitored data stresses two main outcomes related the need to improve the operation of the current HVAC system towards the comfort of building occupants: • to involve the control of indoor microclimate conditions in summer; • more effective human-centered control of the indoor comfort-related parameters.
Building upon the preliminary assessment of the microclimate conditions inside the building, insights for the tailored human-centric operation of the building can be fostered. Nevertheless, the control system should take into consideration also the feedback from the users and not only objective parameters based on existing standards.   indoor air relative humidity ( Figure 13) even during non-occupied hours. The CO2 concentration level values seem consistent with those collected in winter, although less occupancy-dependent. Therefore, the analysis of monitored data stresses two main outcomes related the need to improve the operation of the current HVAC system towards the comfort of building occupants: • to involve the control of indoor microclimate conditions in summer; • more effective human-centered control of the indoor comfort-related parameters.
Building upon the preliminary assessment of the microclimate conditions inside the building, insights for the tailored human-centric operation of the building can be fostered. Nevertheless, the control system should take into consideration also the feedback from the users and not only objective parameters based on existing standards.

Integration of Energy and Environment Field Experimental Data into the FM Platform
Given the need for proper control of the indoor conditions in the building and energy consumption towards comfortable buildings and energy efficiency, the FM platform capabilities combined with the indoor microclimate monitoring and supervision system provide a tool for the human-centric building control. Therefore, similarly to the procedure for systems maintenance, sheets are developed for the automated control of the operation of the building systems and, therefore, of indoor microclimate conditions, in order to provide a comfortable environment for the occupants (Figure 14). These sheets include information on the involved system units and the parameters to be controlled. The latter are linked to the sheet through a simple export of data from the monitoring data storage platform, with the required sampling frequency.
The control values for the environmental parameters will be set and constantly updated according to the evidence in terms of comfort perception by the actual occupants of the building. The control values and the imported data are compared through a function, called alarm, that answers "TRUE" if everything is ok, while responds "FALSE" if the parameter is out of the comfort range. Consequently, the control is activated to identify the fault remotely and to efficiently restore the

Integration of Energy and Environment Field Experimental Data into the FM Platform
Given the need for proper control of the indoor conditions in the building and energy consumption towards comfortable buildings and energy efficiency, the FM platform capabilities combined with the indoor microclimate monitoring and supervision system provide a tool for the human-centric building control. Therefore, similarly to the procedure for systems maintenance, sheets are developed for the automated control of the operation of the building systems and, therefore, of indoor microclimate conditions, in order to provide a comfortable environment for the occupants (Figure 14). These sheets include information on the involved system units and the parameters to be controlled. The latter are linked to the sheet through a simple export of data from the monitoring data storage platform, with the required sampling frequency.
The control values for the environmental parameters will be set and constantly updated according to the evidence in terms of comfort perception by the actual occupants of the building. The control values and the imported data are compared through a function, called alarm, that answers "TRUE" if everything is ok, while responds "FALSE" if the parameter is out of the comfort range. Consequently, the control is activated to identify the fault remotely and to efficiently restore the Figure 13. Monitored indoor air relative humidity and CO 2 concentration level vs. outdoor air relative humidity for the hottest week in summer.

Integration of Energy and Environment Field Experimental Data into the FM Platform
Given the need for proper control of the indoor conditions in the building and energy consumption towards comfortable buildings and energy efficiency, the FM platform capabilities combined with the indoor microclimate monitoring and supervision system provide a tool for the human-centric building control. Therefore, similarly to the procedure for systems maintenance, sheets are developed for the automated control of the operation of the building systems and, therefore, of indoor microclimate conditions, in order to provide a comfortable environment for the occupants (Figure 14). These sheets include information on the involved system units and the parameters to be controlled. The latter are linked to the sheet through a simple export of data from the monitoring data storage platform, with the required sampling frequency.
Energies 2020, 13, x FOR PEER REVIEW 15 of 18 expected environmental conditions. The sheet allows, indeed, to easy monitoring of the parameters and creation of quick warnings for anomalies.

Conclusions and Future Developments
Within the framework of the identification of effective and low-impact solutions for the energy retrofit of historical buildings, this work investigates the further implementation of an advanced holistic modelling and simulation approach as a tool for the human-centric and energy efficient operation and management of renewable energy systems integrated in historical buildings. This operation and management approach for heritage buildings is based on HBIM and is developed within the context of the ongoing H2020 GeoFit project. This approach is still slightly explored for actual applications and, therefore, this work provides a forefront insight towards the efficient operation of historical buildings. In detail, a novel geothermal system involving GHEXs coupled with an adsorption heat pump tailored for historical building communities is modeled within this tailored HBIM framework. Therefore, the HBIM model becomes the information center for the maintenance, management, and operation of the building, and thus is a key tool for facility management. When combined with energy and environmental monitoring, indeed, the model FM application may act as operation and management platform for systems maintenance and human-centric operational control of building energy performance and indoor comfort.
Accordingly, the HBIM approach provides the potential for cultural heritage preservation, while ensuring the improvement of energy and environmental performance of historical buildings. The FM platform allows systems interoperability involving systems for renewable energy production together with indoor and outdoor microclimate and energy needs monitoring and, thus, occupants' satisfaction and wellbeing. In fact, it plays a two-fold role in the human-centric and energy efficient operation of the historical building, namely (i) the maintenance of the building systems operation and (ii) the control of the indoor environmental conditions in the building according to its users' comfort. To this aim, FM sheets, generated for each building element involved, constitute the The control values for the environmental parameters will be set and constantly updated according to the evidence in terms of comfort perception by the actual occupants of the building. The control values and the imported data are compared through a function, called alarm, that answers "TRUE" if everything is ok, while responds "FALSE" if the parameter is out of the comfort range. Consequently, the control is activated to identify the fault remotely and to efficiently restore the expected environmental conditions. The sheet allows, indeed, to easy monitoring of the parameters and creation of quick warnings for anomalies.

Conclusions and Future Developments
Within the framework of the identification of effective and low-impact solutions for the energy retrofit of historical buildings, this work investigates the further implementation of an advanced holistic modelling and simulation approach as a tool for the human-centric and energy efficient operation and management of renewable energy systems integrated in historical buildings. This operation and management approach for heritage buildings is based on HBIM and is developed within the context of the ongoing H2020 GeoFit project. This approach is still slightly explored for actual applications and, therefore, this work provides a forefront insight towards the efficient operation of historical buildings. In detail, a novel geothermal system involving GHEXs coupled with an adsorption heat pump tailored for historical building communities is modeled within this tailored HBIM framework. Therefore, the HBIM model becomes the information center for the maintenance, management, and operation of the building, and thus is a key tool for facility management. When combined with energy and environmental monitoring, indeed, the model FM application may act as operation and management platform for systems maintenance and human-centric operational control of building energy performance and indoor comfort. Accordingly, the HBIM approach provides the potential for cultural heritage preservation, while ensuring the improvement of energy and environmental performance of historical buildings. The FM platform allows systems interoperability involving systems for renewable energy production together with indoor and outdoor microclimate and energy needs monitoring and, thus, occupants' satisfaction and wellbeing. In fact, it plays a two-fold role in the human-centric and energy efficient operation of the historical building, namely (i) the maintenance of the building systems operation and (ii) the control of the indoor environmental conditions in the building according to its users' comfort. To this aim, FM sheets, generated for each building element involved, constitute the monitoring and verification plan for building control and maintenance. The sheets, indeed, are directly connected with the BIM model and the monitoring data storage platform and automatically and continuously updated with the required data. This is the main advantage derived from the use of these sheets, in addition to the simplicity of the exchange format, which can be used by all the stakeholder involved in the design, maintenance, and monitoring process.
Therefore, the integrated HBIM approach may not only drive the path toward the effective regeneration of heritage in Europe, but also its re-functioning based on a user-centric approach thanks to a novel facility management tool for existing buildings and new sustainable resilient constructions. However, this study only presents the theoretical potential of this tool for the operation and management of historical buildings. The effectiveness of the FM platform for application in historical buildings will be actually optimized, implemented and tested when the pilot case study with the novel GSHP system with horizontal slinky type GHEXs is completed. With this view, the HBIM model will be further developed during the project and also integrated within a GEOBIM platform, where geometrical and technical information are integrated with geographical information including the geothermal conditions of the building site. Moreover, the cost-benefit analysis of the geothermal system proposed for the case study will be carried out once the system implementation is finalized. In this way, the platform can integrate a whole evaluation protocol, including maintenance, environmental, and economic aspects.
Funding: This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 792210 (GEOFIT).