Methodological approaches to organizing the complete production cycle of blockmodular boiler houses from technical specification to commissioning

Introduction. The paper presents a systematized description of methodological approaches to organizing the complete production cycle of block-modular boiler houses (BMBH) from the technical specification stage to commissioning. The state of the literature is fragmented: individual life-cycle stages are thoroughly described, while the methodology of cross-stage coordination is not systematically articulated.

Goal. Development of a methodological framework treating the BMBH life cycle as a unified information loop and identification of cross-cutting principles ensuring continuity of engineering solutions at stage boundaries.

Materials and methods. The research is based on a comparative analysis of Russian, European and North American engineering schools, stage-by-stage decomposition of the BMBH life cycle, methodological synthesis, and generalization of recent scientific literature on systems engineering, digital twins and cybersecurity of energy facilities.

Results and discussion. Four cross-cutting methodological principles are identified – data continuity, early diagnosability, modularity as a design-and-production principle, and integrated safety; a data-continuity graph, a matrix mapping principles onto stages, and a classification of methodological risks are developed; a nonlinear dependence of the cost of risk mitigation on the distance between detection and origination stages is established.

Conclusion. It is concluded that the quality of the BMBH production cycle is determined by cross-stage consistency rather than by local optimization within individual stages; prospective directions are outlined, including digital twins, data transfer across life-cycle boundaries, and cybersecurity of remote monitoring systems.

1. On approval of federal norms and rules in the field of industrial safety "Industrial Safety Rules for the Use of Equipment Operating under Excess Pressure": Order of Rostekhnadzor dated December 15, 2020 No. 536. Moscow: Rostekhnadzor, 2020. (In Russ.).

2. SP 89.13330.2016. Boiler units. Updated version of SNiP II-35-76: approved. by Order of the Ministry of Construction of Russia dated December 16, 2016 No. 944/pr. Moscow: Ministry of Construction of Russia, 2017. (In Russ.).

3. SP 124.13330.2012. Heating networks. Updated version of SNiP 41-02-2003: approved. By order of the Ministry of Regional Development of the Russian Federation dated June 30, 2012, No. 280. Moscow: Ministry of Regional Development of the Russian Federation, 2012. (In Russ.).

4. GOST R 57700.37-2021. Computer models and modeling. Digital twins of products. General provisions: approved by order of Rosstandart dated September 16, 2021, No. 979-st. Moscow: Standartinform, 2021. (In Russ.).

5. EN 12952. Water-tube boilers and auxiliary installations. Brussels: CEN, 2011-2022. Parts 1-18.

6. EN 12953. Shell boilers. Brussels: CEN, 2012-2025. Parts 1-14.

7. ASME Boiler and Pressure Vessel Code. Section I: Rules for Construction of Power Boilers. New York: ASME, 2023.

8. ISO/IEC/IEEE 15288:2023. Systems and software engineering – System life cycle processes. Geneva: ISO, 2023. Available from: https://www.iso.org/standard/81702.html [Accessed 22 May 2026].

9. IEC 62443. Security for industrial automation and control systems (series of standards). Geneva: IEC, 2009–2024.

10. Boehm BW. Software Engineering Economics. Englewood Cliffs, NJ: Prentice Hall, 1981. 767 p.

11. Walden DD. INCOSE Systems Engineering Handbook: A Guide for System Life Cycle Processes and Activities. 5th ed. NJ: Wiley, 2023. 368 p.

12. Frederiksen S, Werner S. District Heating and Cooling. Lund: Studentlitteratur AB, 2013. 586 p.

13. Lund H, Ostergaard PA, Chang M, Werner S, Svendsen S, Sorknæs P, Thorsen JE, Hvelplund F, Mortensen BOG, Mathiesen BV, Bojesen C, Duic N, Zhang X, Moller B. The status of 4th generation district heating: Research and results. Energy. 2018;164:147-159. https://doi.org/10.1016/j.energy.2018.08.206

14. Neumayer M, Stecher D, Grimm S, Maier A, Bücker D, Schmidt J. Fault and anomaly detection in district heating substations: A survey on methodology and data sets. Energy. 2023;276:127569. https://doi.org/10.1016/j.energy.2023.127569

15. van Dreven J, Boeva V, Abghari S, Grahn H, Al Koussa J, Motoasca E. Intelligent Approaches to Fault Detection and Diagnosis in District Heating: Current Trends, Challenges, and Opportunities. Electronics. 2023;12(6):1448. https://doi.org/10.3390/electronics12061448

16. Zhao Y, Cai Y, Jiang H. Recurrent Neural Network-Based Hybrid Modeling Method for Digital Twin of Boiler System in Coal-Fired Power Plant. Applied Sciences. 2023;13(8):4905. https://doi.org/10.3390/app13084905

17. Abd Wahab NH, Hasikin K, Wee Lai K, Xia K, Bei L, Huang K, Wu X. Systematic review of predictive maintenance and digital twin technologies challenges, opportunities, and best practices. PeerJ Computer Science. 2024;10:e1943. https://doi.org/10.7717/peerj-cs.1943

18. Alanazi M, Mahmood A, Chowdhury MJM. SCADA vulnerabilities and attacks: A review of the state-of-the-art and open issues. Computers & Security. 2023;125:103028. https://doi.org/10.1016/j.cose.2022.103028

19. Massel LV, Massel AG. Semantic modeling in constructing digital twins of energy objects and systems. Ontologiya proektirovaniya. 2023;13(1):44-54. (In Russ.). https://doi.org/10.18287/2223-9537-2023-131-44-54

20. Chernukhin AV, Bogdanova EA, Savitskaya TV. Building a predictive analytics model for industrial equipment failures. Programmnye produkty i sistemy. 2024;37(2):254-261. (In Russ.). https://doi.org/10.15827/0236-235X.142.254-261