Heating Conditions Research Articles

Structural insulation panel system (SIP) as an alternative for cooling energy saving, decarbonization, and energy cost reduction in hot and dry climates. A simulation-based approach

ABSTRACT During the last decades, the growing urban prospects represent a challenging condition to develop climate change adaptation solutions before the urban overheating effects and its challenges to the environment, human health, and building energy consumption, which is critical in hot arid climates with record-breaking heatwaves where society is turning to air conditioning instead of energy-efficient building envelopes. The primary aim of this study was to examine the influence of the Structural Insulation Panel (SIP) system heat transfer in energy-related aspects and contrast it with those of conventional construction systems. Therefore, a comparative study was carried out in low-income dwellings to measure the thermal transmittance of the building envelope and assess the thermal energy simulation allocated in Köppen-Geiger´s hot desert climate, characterized by typical maximum temperatures of 45°C in the summer season. The investigation ascertained the levels of energy consumption, the capacity of the air conditioning system, the associated energy costs, and the potential decrease in carbon footprint. The study shows SIP as a viable construction system alternative, the evidence shows a 20% heat gain reduction, the Heating, Ventilation, and Air Conditioning (HVAC) system capacity was reduced by 38%, and energy cost by 27%. The system also contributes to the decarbonization and carbon footprint by 20%. Likewise, to reduce the heat flow, a crucial element is evident, since transmittance in thermal bridges significantly affects the heat transfer in these low thermal conductivity systems with structural reinforcement elements.

Hot Bending–Quenching Characteristics of Heat Treatable A6063 Aluminum Tubes

This study investigates the application of hot bending–quenching technology to heat-treatable A6063 aluminum tubes, focusing on the bending formability and mechanical properties after aging treatment under various heating conditions. High-frequency induction heating was used to uniformly heat aluminum tubes to the solution treatment temperature of 560 °C. The effect of wall thickness on bending formability was explored, revealing that thinner tubes (2 mm) experienced significant flattening defects, whereas thicker tubes (5 mm) exhibited superior formability with reduced shrinkage and wall thinning. Additionally, the pre-quenching temperature was found to influence the mechanical properties of the tube with a thickness of 5 mm. Tubes held at the solution temperature for 1 min 30 s or longer maintained higher temperatures during transfer, resulting in improved tensile strength and hardness after aging. The findings confirm the feasibility of applying hot bending–quenching technology to aluminum tubes, though careful control of temperature loss during continuous industrial processes is required to ensure optimal mechanical performance.

Reconfigurable and Scalable Honeynet forCyber-physical Systems

Industrial Control Systems (ICS) constitute the backbone of contemporary industrial operations, ranging from modest heating, ventilation, and air conditioning systems to expansive national power grids. Given their pivotal role in critical infrastructure, there has been a concerted effort to enhance security measures and deepen our comprehension of potential cyber threats within this domain. To address these challenges, numerous implementations of Honeypots and Honeynets intended to detect and understand attacks have been employed for ICS. This approach diverges from conventional methods by focusing on making a scalable and reconfigurable honeynet for cyber-physical systems. It will also automatically generate attacks on the honeynet to test and validate it. With the development of a scalable and reconfigurable Honeynet and automatic attack generation tools, it is also expected that the system will serve as a basis for producing datasets for training algorithms for detecting and classifying attacks in cyberphysical honeynets.

Aspects of heat transfer hybridized micropolar water-based iron oxide and silver nanoparticles across a stretching bidirectional sheet with thermal radiation

The hybridization of nanoparticles enhances heat transfer, playing a crucial role in the development of advanced thermal insulation materials. These materials find applications across diverse fields, including electronics design, healthcare, environmental remediation, and automotive engineering. In light of this, the current study investigates the boundary layer flow and heat transfer of hybridized (Fe3O4−H2O) and (Ag−Fe3O4−H2O) micropolar nanofluids over an extending bidirectional sheet characterized by nonlinear thermal radiation. The boundary heating conditions are based on two types of thermal settings in the energy equation: prescribed surface temperature (PST) and prescribed heat flux (PHF). The resulting partial differential equations are then converted into ordinary differential equations using specific similarity variables. The mathematical equations are solved using the Chebyshev Collocation Method (CCM). Consequently, a variety of graphs and tables are displayed to deliberate the impact of the emerging parameters on the flow and heat transmission processes. At the end, the analysis reveals that an increase in the temperature gradient is higher in a non-isothermal situation as compared to an isothermal case with growth in the Prandtl number. The material property helps to reduce surface drag and heat transfer, whereas the magnetic field increases the skin friction coefficient.

Accelerating chiller sequencing using dynamic programming

Effective management of heating, ventilation, and air conditioning (HVAC) systems is crucial for enhancing building energy efficiency. Chillers, a significant component of HVAC systems, are responsible for more than 50 % of energy usage of the whole cooling plant, underscoring the importance of optimizing chiller sequencing. Although Model Predictive Control (MPC) has demonstrated efficacy in enhancing chiller performance, its widespread adoption is hindered by its high computational complexity. This study introduces a dynamic programming approach coupled with a 2-step optimization method to expedite chiller sequencing optimization while upholding MPC’s real-time control capabilities. The MPC method implemented in this study integrates a load forecasting model with an artificial neural network (ANN) based chiller model. Through simulation tests utilizing historical HVAC operational data from a commercial building located in Shanghai, the proposed chiller sequencing strategy achieves a 9.73 % decrease in energy consumption. Moreover, the dynamic programming approach, especially in conjunction with the 2-step optimization process, significantly reduces the MPC solution time at each control step from 165 min to 3.61 s, making it a viable solution for real-time MPC deployment. Additionally, the research delves into the influence of the chiller model’s complexity, the optimization strategy, and control horizon on computational efficiency. This research provides a feasible solution to implement chiller sequencing in real buildings to pick up the low-hanging fruits in an effective way.

Efficient multi-agent reinforcement learning HVAC power consumption optimization

This work proposed a novel reinforcement learning (RL) approach deep deterministic policy gradient with multi-stabilization network (MADDPG-MSN). It enhanced the sample efficiency of RL in heating, ventilation, and air conditioning (HVAC) power consumption optimization. Employing the multi-stabilization network trick, MADDPG-MSN efficiently learned to balance temperature control and power consumption with a limited number of interactions, expanding the potential of RL in the power consumption optimization of real-world HVAC systems. Evaluated by the simulated data center scenario, it reduced 28% power usage without compromising temperature control capability compared with the traditional model-predictive controller. In the real-world air conditioner testing, it demonstrated a similar control performance of indoor temperature to the built-in controller while consuming 32% less power.

Impacts of HVAC cleaning on energy consumption and supply airflow: A multi-climate evaluation

Energy-efficiency interventions are crucial for sustainable building operations to accommodate emerging indoor air quality (IAQ) criteria into their engineering life cycles. While several studies have addressed building energy consumption and IAQ considerations separately, few provide integrated analysis of these aspects in response to building hygiene practices. In response, this study evaluates the effectiveness of routine heating, ventilation, and air conditioning (HVAC) cleaning on energy consumption and supply airflow patterns in non-residential public buildings. This study juxtaposes HVAC energy consumption and ventilation performance before, during and after routine HVAC cleaning, across buildings situated in four different climate zones, while operating in cooling mode. Each site had nearly identical HVAC systems serving similar architectural features and occupational loads; these were segregated into an intervention (cleaned HVAC system) that could be compared to an otherwise identically operating HVAC (control system), which was not cleaned. Following prescriptive cleaning, HVAC systems exhibited significant energy consumption reductions and delivered higher airflows compared to their uncleaned counterparts. On average, intervention systems saved between 41 % and 60 % on conveyance (fan/blower) energy, with one exception, and supplied 10 % and 46 % more airflow compared to their uncleaned counterparts. This research demonstrates how a new generation of low-cost HVAC system monitors can compile Internet of Things (IoT) archives to show immediate energy consumption benefits associated with cleaning HVAC components and their associated ductwork serving relatively high occupancy commercial and educational spaces.

How far back shall we peer? Optimal air handling unit control leveraging extensive past observations

Heating, Ventilation, and Air Conditioning (HVAC) systems play a critical role in ensuring occupant comfort in buildings. Traditional Rule-Based Feedback Control (RBFC) systems, while widely deployed for their simplicity, suffer from low adaptability. Recent improvements, such as Model Predictive Control (MPC) methods demand complex mathematical modeling and substantial expert knowledge, creating a high barrier for system design and optimization. Reinforcement Learning (RL) emerges as a promising solution with its adaptability and model-free nature, albeit challenged by sample inefficiency and suboptimal convergence. Given the intrinsic delayed effects from previous actions and prolonged thermal inertia in the HVAC systems, this study introduces an innovative deep RL framework that can leverage historical observations to refine RL agent performance. By incorporating a state-of-the-art (SOTA) Transformer model, we capture the temporal patterns in HVAC data and build a more precise RL training environment. Implemented on high-resolution, real-world HVAC datasets, our framework showed superior performance in both HVAC system modeling and RL control performance. Specifically, compared to the two baseline models—Bidirectional Long Short-Term Memory (Bi-LSTM) and vanilla Transformer, our proposed RL environment model achieved an average of 30.5% and 35.8% prediction accuracy improvement, respectively. Moreover, our optimal past observable RL agent swiftly delivers 35.3% of electricity saving and 54.4% of thermal comfort improvement over traditional RBFC. These results show the effectiveness of the pioneering integration of extensive historical observations for HVAC operation optimization.

Pickering high internal phase emulsions stabilized by soy protein isolate/κ-carrageenan complex for enhanced stability, bioavailability, and absorption mechanisms of nobiletin

Nobiletin (NOB), a lipid-soluble polymethoxyflavone with potent antioxidant, antimicrobial, and anti-inflammatory properties, suffers from poor stability and pH sensitivity, limiting its bioavailability. In this study, Pickering high internal phase emulsions (HIPEs) stabilized by soy protein isolate (SPI) and κ-carrageenan (KC) were developed to encapsulate and protect NOB. The emulsions, containing a 75 % medium-chain triglyceride (MCT) volume fraction, were optimized by investigating the effects of pH and KC concentration on the key properties such as the creaming index, particle size, zeta potential, microstructure, and rheology. Results showed that under optimal conditions (pH 7 and 1.0 % KC), the SPI/KC HIPEs exhibited improved physicochemical properties. Furthermore, encapsulation of NOB in HIPEs significantly improved its stability against UV exposure, heat, and storage conditions. Additionally, simulated gastrointestinal digestion studies revealed that the SPI/KC HIPEs improved the digestion stability and bioaccessibility of NOB, with controlled release in the intestinal phase. Moreover, the SPI/KC HIPEs facilitated increased cellular uptake and bioavailability of NOB, with clathrin-mediated endocytosis and macropinocytosis as primary absorption pathways. The encapsulated NOB also showed enhanced inhibition of inflammatory markers, including NO, IL-6, and TNF-α. These findings suggested that SPI/KC HIPEs provided a promising delivery system for improving the bioavailability and bioactivity of hydrophobic compounds.

Optimizing ventilation systems considering operational and embodied emissions with life cycle based method

Efforts to enhance the energy efficiency of Heating, Ventilation, and Air Conditioning (HVAC) systems have been bolstered by technical advancements and stringent regulations. However, HVAC systems not only emit during operation due to energy consumption but also have significant embodied emissions, which recent studies show can exceed those of the operational phase. This study introduces an optimization framework aimed at minimizing lifetime emissions—both operational and embodied—for ventilation systems, an area previously underexplored. The optimization framework incorporates detailed calculations of pressure drop, fan power and newly developed life cycle ventilation inventory data with a life cycle assessment perspectiveA case study of ventilation ductwork in a “BREEAM Excellent” certified energy-efficient building in Norway applies this optimization framework. Findings indicate that for this case, optimizing ductwork dimensions can reduce lifetime emissions of the ventilation system by 15 %, compared to the existing designs with an emission intensity of 0.3 kg CO2/kWh. Further, the study examines how the emission intensity of electricity generation and service lifetime influence total emissions, highlighting the growing importance of embodied emissions as electricity generation becomes cleaner. This underscores the necessity of considering both operational and embodied emissions in design decisions. This study presents an optimization tool for low-emissions ventilation design, capable of processing diverse layouts and aiding in decarbonizing ventilation systems towards achieving zero-emission buildings. Future integration with building information modeling (BIM) and artificial intelligence (AI) could further enhance autonomous low-carbon design and decision-making.

Analysis of thermal significances of nanofluids in inclined magnetized flow with Joule heating source and slip effects

The growing need for effective thermal management systems in engineering applications will improve performance by using nanofluids. Nanofluids, which show enhanced thermal characteristics compared to typical fluids, offer an effective way for heat transmission processes in industries. This study is particularly useful for systems where traditional fluids are insufficient for improving thermal performance. Understanding the overall impacts of Joule heating, magnetic fields, and slip conditions would be beneficial in fields such as aircraft, microelectronics, and biomedical engineering.The thermal significances of nanofluids in an inclined magnetized flow are analyzed in this work, taking slip effects and the Joule heating source into account. The motivation behind the current research is to investigate the flow and heat transfer behavior of magnetohydrodynamic (MHD) nanofluid under the influence of Joule heating in the presence of slip conditions.Based on conservation laws and suitable boundary conditions, the governing formulas for mass, momentum, energy, and nanoparticle concentration are developed. In this thermal investigation, unsteady nanofluid flow in two dimensions via a nonlinear stretched configuration is studied numerically together with an example of a non-uniform heat source. Using similarity transformation, the governing partial differential equation for chemical radiation and slip effects parameters for hydromagnetic flow is transformed into a set of ordinary differential equation (ODE). To solve these equations, a numerical method is applied. This study found that the velocity, mass transfer, temperature, concentration, heat transfer, and skin friction coefficient are significantly influenced by the chemical reaction, radiation parameter, and velocity slip. A graphical representation of the parameters influencing the heat transfer and the velocity changes in calculation is observed.

A new approach for global and multi-objective optimization of fin and tube heat exchanger

Fin and tube heat exchangers (FTHEs) are widely used in buildings for various heating, ventilation, and air conditioning (HVAC) applications due to their efficiency and compact design. Optimizing the design of FTHEs for building applications can bring numerous advantages in terms of energy efficiency, performance, and overall cost-effectiveness. For this purpose, this paper introduces the Multi-Objective Set Trimming (MOST) algorithm, a robust and global optimization approach applied to the optimization of a fin and tube heat exchanger. The study compares the results obtained using MOST with the well-known semi-stochastic method, Multi-Objective Particle Swarm Optimization (MOPSO), and an exhaustive search, considering both computational time and convergence. The optimization focuses on two objectives: effectiveness and annual cost, considering eight design parameters related to heat exchanger geometry. Six different cases with varying mass flow rates on both the hot and cold sides are investigated. Results reveal that the Pareto optimal fronts achieved with MOPSO are entirely dominated by those obtained using MOST across all studied cases. Additionally, MOST improves the annual cost for the best economic solution by up to 10.69% compared to MOPSO, and effectiveness is enhanced by up to 1.95%. Notably, the computational time is significantly reduced with MOST, ranging from 49.36% to 97.49% compared to MOPSO across different cases. As a result, the implemented method provides highly effective tools for optimizing the FTHE, ensuring both fast convergence and efficient computational performance.

Dynamic analysis of the bubble's spatiotemporal evolution on a microheater under microsecond pulse heating

Transient heating of liquids upon a microheater surface manifests an exceedingly rapid temperature escalation, inducing a pronounced superheating at the onset of nucleation. Rare study focuses on the spatiotemporal behavior of subcooled boiling bubbles on a thin-film microheater surface. The present study experimentally explores the subcooled pool boiling heat transfer process on a platinum thin-film microheater with dimensions of 1000 μm × 1000 μm under microsecond pulse heating conditions. The visualized results indicate that three typical heat transfer regimes related to various heating scenarios can be identified, including the single-phase, nucleate boiling and film boiling heat transfer regimes. Consequently, the boiling incipience moment and the corresponding average microheater temperature are meticulously discussed and compared with analogous scholarly contributions. Moreover, the rapid bubble lifecycle involving nucleation, growth, coalescence and collapse within approximate 130 μs under microsecond pulse heating is captured and detailly analyzed. At lower heat flux, the boiling process is distinctly classified into five phases: (I) single-phase heat transfer, (II) isolated bubbles nucleation, growth and coalescence, (III) formation and growth of vapor blanket, (IV) shrinkage and collapse of vapor blanket, followed by (V) microbubbles condensation. As the vapor blanket nearly envelops the microheater completely, the temperature dramatically surges, with the increase rate markedly surpassing that observed during phase II. When further raising the heat flux, the regrowth of main bubble locating at the central area can be observed. Meanwhile, the nucleation and growth of numerous microbubbles in the peripheral zones after the collapse of vapor blanket are identified.

Research on heat transfer characteristics and prediction methods of supercritical liquified natural gas flowing horizontally under the influence of buoyancy

An exhaustive elucidation of the heat transfer performances and mechanisms of supercritical LNG under water-bath heating conditions is paramount for optimizing heat transfer and designing related heat exchangers. This study employs experiments and numerical simulations to explore the heat transfer mechanisms and prediction methods of supercritical LNG flowing horizontally under buoyancy. The experimental investigation was executed within a small SCV using the N2-Ar mixture as a substitute medium for safety considerations. Concurrently, the accuracy of the numerical model employed is rigorously authenticated through a comparative analysis with the empirical findings obtained from the experimental endeavor. The investigation delves into the impacts of operating conditions, structural parameters, and medium composition on heat transfer through numerical simulations. The influence mechanism of buoyancy on heat transfer is meticulously explicated by examining the distribution of flow fields and thermophysical properties within the boundary layer. The introduction of a novel criterion, Bufull, derived from the analysis of wall shear stress variation caused by buoyancy, facilitates a quantitative assessment of the impact of buoyancy on heat transfer. Additionally, a simplified buoyancy criterion, FBu, is introduced, dependent solely on fundamental operating parameters and tailored for engineering applications, with a determined critical value of 1/ FBu = 60.3. Based on the dramatically variable thermophysical and transport properties, that occurs near the critical point, as well as buoyancy correction, a correlation is formulated for predicting mixed convection heat transfer, exhibiting an MAE of merely 3.04% and accurately predicting 81.28% of the data within a ± 5% margin of error, surpassing existing correlations. Finally, the proposed heat transfer calculation method is validated using five groups of operational data from two in-service SCVs. The maximum absolute discrepancy between the computed outlet temperature and the monitored value is 1.95K. The findings of this paper can support practical applications.

Supercritical n-decane heat transfer in a vertical tube subjected to high-temperature crossflow air

The study presents a numerical investigation of high-temperature supercritical n-decane flowing upward in a tube subjected to non-uniform heating. The aim of the study is to evaluate the heat transfer mechanisms due to the non-uniform heating condition where it can be observed that the radial inner wall temperatures exhibit a typical pendulum-type distribution. In particular, between 140° < θ < 220° (near the cold side of the tube), the temperature at the inner wall is at the lowest and remains essentially constant, which indicates that the n-decane between the hot and cold sides in the tube exhibits poor mixing. Also, the higher the inlet temperature, the more likely heat transfer deterioration (HTD) will occur closer to the tube inlet. Moreover, detailed information on wall temperatures, velocity, and secondary flow of the supercritical n-decane are evaluated and discussed. The results show that Re is affected by the density and kinetic viscosity of n-decane near the pseudocritical temperature so that Re near the wall fluctuates and has an influence on the wall heat transfer in the HTD region. The Pr at the center of the fluid decreases along the axial direction and the fluid boundary layer becomes thinner, resulting in a more pronounced non-uniformity of Pr in the radial direction. Meanwhile, the stability of the turbulent kinetic energy (TKE) distribution and the high intensity of TKE favor the heat transfer of n-decane in the tube.

Heat and Mass Transfer in a Local Enclosed Operating Zone Under Radiant Heating Conditions

Heat and Mass Transfer in a Local Enclosed Operating Zone Under Radiant Heating Conditions

Development and Verification of Microclimate Control System for Enhanced Driver Comfort and Safety Based on Skin Resistance Measurements

Abstract This study deals with the design and construction of a device that enhances driver comfort and safety by automatically adjusting the microclimate in the vehicle cabin based on real-time skin resistance measurements. Using electrodes attached to driver‘s skin and an Arduino microcontroller, the system monitors and evaluates skin conductivity and adjusts heating, ventilation, and air conditioning (HVAC) settings accordingly. Experimental verification in laboratory conditions demonstrated device‘s functionality in changing microclimate parameters. Preliminary results suggest a potential correlation between baseline skin resistance values and the magnitude of observed changes in response to ambient conditions. Subjects with lower baseline skin resistance (≤100,000 Ω) showed smaller changes compared to those with higher baseline resistance (≥100,000 Ω). The current results are graphically processed as the course of skin resistance changes depending on the changing parameters of microclimate.

Thermal energy export from supermarket refrigeration systems: Drivers and barriers

Supermarket refrigeration systems offer the possibility to recover significant amounts of energy. These amounts may at times be higher than what the supermarket needs. In these cases, export of heat or air conditioning to neighboring buildings is a solution for increased overall energy efficiency. However, although previous studies have demonstrated the technical viability of such systems, they are rarely implemented in practice. In this work, possible barriers to and drivers of implementation of thermal energy export from supermarkets are investigated. The empirical work consists of a mixed-method data collection and in-depth analysis of six case studies of supermarkets that are in a research collaboration project between the KTH Royal Institute of Technology in Stockholm and CIT Energy Management in Gothenburg, Sweden. The main findings indicate that several barriers, especially the split economic incentives of supermarkets and property owners and a lack of information, have significant detrimental effects on the uptake of thermal energy export solutions. Cooperative agreements between supermarkets and property owners are found to have the greatest possibility to mitigate the impact of the barriers, but standardized templates are needed to reduce their associated legal, technical, and administrative uncertainties.

Naturally circulated system under low to moderate heating condition with supercritical fluid: A comprehensive investigation of loop orientation and Ledinegg instability

Out of the two stability characteristics i.e. static and dynamics, static instability has hardly been explored in such systems due to mathematical complexity and absence of explicit boundary conditions. Present numerical investigation deals with the 1D numerical framework analyzing the steady-state and static instability of the loop under different loop orientation i.e., horizontal heater horizontal cooler (HHHC), vertical heater horizontal cooler (VHHC), horizontal heater vertical cooler (HHVC) and vertical heater vertical cooler (VHVC). The range of heating power considered is applicable in the low to moderate heating condition such as in solar heater and electronic chip cooling. Due to uneven generation of buoyancy and friction throughout the flow path, occurrence of FiHTD is also dependent on it, with best and worst thermalhydraulic characteristics for HHHC and VHVC respectively. For every condition, the appearance of static instability was found to be within the heating power limit. For T∞ = 295 K it spanned over 1050 W for HHHC orientated loop which got decreased by 9.5%, 23.8% and 65.7% for VHHC, HHVC and VHVC respectively. Under the condition of increased of T∞ = 300 K the same was found within the limit of 575 W and got decreased by 13%, 21.7% and 64.3% for cases mentioned above insequential manner. Stability maps drawn using well known non-dimensional numbers holds a good qualitative behavior of static instability. Dynamic instability is well explored for HHHC combination has throughly done previously by various authors and hence, has not been considered here. The authors believe that dynamic instability will not be much more prominant due to predefined flow direction and can be explored as a future work.

Study on the effect of thermoactivated conditions on the properties of hardened cement powder

The performance of thermoactivated hardened cement powder (HCP) is the basis for studying the performance of thermoactivated recycled concrete powder (RCP). Previous studies have mostly focused on thermoactivated RCP, while thermoactivated HCP is taken as the research object in this paper. The effects of different thermoactivated conditions on the mass loss rate, density, initial and final hardening time, standard consistency water powder ratio, and compressive strength of the test block made from thermoactivated HCP were studied. Furthermore, the mineral composition, microstructure, chemical elements, hydration heat, and hydration products of thermoactivated HCP made from different thermoactivated conditions were analyzed. The test results indicated that the average initial harden time of the 600, 800, 1000, and 1200 °C of thermoactivated HCP are 15, 1160, 85, and 13 min, respectively. In terms of phase change of HCP at different heating temperatures, when the heating temperature reached 800 °C, the diffraction peaks of C-S-H and CaCO3 disappear, while the diffraction peaks of C3S, β-C2S, and αC2S began to appear. AFt and Hydrotalcite are completely decomposed and C-S-H loses adsorbed water with temperature from 35.9 to 201.7 °C. Ca(OH)2 is completely decomposed with temperature from 413.3 to 457.4 °C. CaCO3 is completely decomposed with temperature from 457.4 to 731.6 °C. In terms of changes in the proportion of chemical elements after hydration of thermoactivated HCP, the values of Ca/Si of hydrated cement is 1.78. The average values of Ca/Si after hydration of 1000 and 1200 °C thermoactivated HCP are 3.32 and 3.33, respectively, while the average values of Ca/Si after hydration of 600 and 800 °C thermoactivated HCP are 2.74 and 2.6. These research conclusions provide a foundation for the application of thermoactivated HCP. HIGHLIGHTS The mass loss rate, density, and compressive strength of hardened cement powder made from different heating conditions were studied. The standard consistency water powder ratio, initial and final hardening time of hardened cement powder made from different thermoactivated conditions were analyzed. The mineral composition, microstructure, chemical elements, hydration heat, and hydration mechanism of hardened cement powder made from different thermoactivated conditions were revealed.